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They made the test environment public last June and are launching the actual network during 2020.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Bitcoin has now existed for over a decade, and almost everyone has owned bitcoin at some point – or at least knows someone who has. Still, bitcoin never became the digital money it was meant to be. Most probably, your local grocery store doesn’t accept it, nor do you use it when you need to transfer money to your friends or family. 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This means that the value of Libra should only fluctuate based on the value of these backing assets.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Only trusted parties, the members of the Libra Association, are allowed to run servers that validate the transactions. Therefore, the proof-of-work mechanism is not required. This increases both the speed and throughput of processing transactions (and does not require the crazy amounts of electricity consumed by the big cryptocurrencies). The validating nodes still have to agree to confirm a transaction, and the network can tolerate up to ⅓ of the validators to be compromised.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"The test environment for Libra has been available since June, so developers and companies can already start getting prepared for making and accepting payments in Libra.The rest of this article explains the basic concepts of Libra and has code examples for creating transactions in the testnet to show you how easy transferring money can be with Libra.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Sending money to your friend shouldn’t be harder than getting them an Uber ride home. Libra has the potential to bridge the gap between traditional financial networks and new digital currency technology while reducing the costs for everyone — especially consumers.\n\n- Peter Hazlehurst, Head of Payments and Risk, Uber Technologies, Inc.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Accounts","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The only thing you need for setting up a new account for sending and receiving transactions is a public-private key pair you can create by using the Ed25519 signature scheme. This key-pair is used to sign the transactions digitally, and the account identifier (address) is derived from the public key by hashing. You can create a new account in the Libra system by sending money to it or by making an account creation transaction.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"After creating the key-pair, you can create the account address by making a SHA3 hash of the public key.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Transactions","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"To make a transaction, you need to specify the following information:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Transaction sequence number","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Gas amount. 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The serialized data is then signed, and the transaction is ready to be sent to the Libra API.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The amount of money to be sent nor the receiver of the payment is not specified in the transaction attributes. This information is included in the transaction script and arguments, which are written in a Libra-specific programming language called Move.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"‘Move’ transaction script","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The transaction script makes it possible for you to create much more complex transactions than simple money transfers from one account to another. These type of programmable transactions are also called “smart contracts”, and you can also specify for example several receivers for the money and define conditions that need to be met for the transaction to go through.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"For this, Libra has its own programming language called Move. A Libra -specific programming language was designed to efficiently and safely create logic around transactions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To get started, you don’t need to learn this new language, as there are ready-made scripts for most common use cases in the Libra code repository.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Libra API","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Libra API uses gRPC, which is a web-service framework created by Google. The API is defined in service definition files, which are used to generate the client code for different platforms. The testnet API is running at ","nodeType":"text"},{"data":{"uri":"http://ac.testnet.libra.org:8000"},"content":[{"data":{},"marks":[],"value":"http://ac.testnet.libra.org:8000","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" and can be accessed without registration.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"For testing purposes, Libra also provides a service for adding money (minting) to test accounts.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Behind the API, the transaction will go through different validations after which it will be sent to other validator nodes in the network. The validators will vote on the transaction to be executed, and the changes will then be written to the ledger. You can find a more detailed description from the Libra documentation: ","nodeType":"text"},{"data":{"uri":"https://developers.libra.org/docs/life-of-a-transaction"},"content":[{"data":{},"marks":[],"value":"https://developers.libra.org/docs/life-of-a-transaction","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Making the API call","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"JLibra is a Java client library I started implementing as an open source project after the testnet was made public. JLibra is used for creating transactions and querying information about the accounts. There are also several other client libraries available for different programming languages. By using a client library, you don’t need to implement the serialization, signing and the gRPC call yourself. If you are interested in the details of those, you can find them in the source code.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The first step is to generate key-pairs for the accounts that are involved in the transaction. ","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GenerateKeysExample.java"},"content":[{"data":{},"marks":[],"value":"GenerateKeysExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Next, you need to create some money for testing purposes. This is done using the Libra faucet API and is obviously only available in the test environment. ","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/MintExample.java"},"content":[{"data":{},"marks":[],"value":"MintExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"After creating money in the accounts, you can check the balance by querying the API. From the response, you can also find the account sequence number for the transaction. 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Now your app can have all the good stuff from both native and web apps in one application and you have total control of the deployment (no app stores), encrypted notifications (not readable by third party services) and your users can choose to install the application on their devices allowing connectivity independence and native app-like experience.\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sounds to good to be true?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Almost. The features are only available in the latest versions of the modern browsers but you can start implementing your progressive app today. 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Everyone has the right to use services, but some of us need specific accommodations for disabilities to access them. We design services that are more accessible and usable for everyone. We also consider users who are blind or have a visual impairment, an attention deficit disorder, or a physical impairment that prevents someone from using a mouse. Our designers, content providers and software developers work in close cooperation throughout the process. 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Much of our daily activity is carried out online, and everyone should be able to use the same services easily. Read some tips from our digital designers Annina and Jesse for better online accessibility.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Accessibility means that websites and mobile applications and their content are designed so that anyone can use them successfully. Accessibility is also an increasingly important success factor in the development of digital services and the related user experience.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The role of the designer and developer in accessible digital services","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"When designing online services, it is important to be aware that services are made accessible in the code. The members of the development team must understand both each other and the end-user in order to provide the service with, for example, functional color contrasts, responsive text size, and a semantically clear code that allows use with a keyboard or screen reader.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"That’s why we, two digital designers, decided to venture out and attend the Frontend Master ","nodeType":"text"},{"data":{"uri":"https://frontendmasters.com/courses/web-accessibility/"},"content":[{"data":{},"marks":[],"value":"Web Accessibility","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" course dealing with the basics of accessibility in website implementation. The lecture part of the course lasts about three hours, but we booked a whole training day so that we could also do the course exercises and supplementary studies at the same time. We also got a lot more out of the lecture section as we took time to discuss the topics and the observations and questions that came out of that. At Nitor, learning is valued: everyone has the opportunity to spend five working days a year on training and in addition, we spend about 10 percent of our working time developing our own projects.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The basics of accessibility","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"The accessibility of a website is based on the fact that even people with a disability can interpret, understand and contribute to things online as well as navigate and interact with the internet. At the beginning of the course, the lecturer provided an example of how people got frustrated with filing taxes. In Finland, digital tax services are significantly more user-friendly but it was easy to identify with the frustration. The example immediately increased our empathy for people who find digital services constantly challenging.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"About one in five of us has a disability. In the United States, for example, many people have impaired vision despite using glasses. This leads to problems such as difficulty interpreting words and letters. In addition to visual and aural impairments, digital service providers must also take into account such matters as attention deficit disorders, learning disabilities, and physical impairments that make it difficult or even impossible to use a mouse, for example.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are many different ways in which users can navigate websites. For example, using a keyboard, a mouse, and an on-screen virtual keyboard or by using a mouse stick or head wand. Websites designed for visually impaired or blind users come to life through a screen reader. For us, the least familiar tool was the so-called single switch, where a single key can be used to command a computer.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In terms of accessibility, it should be noted that the internet was designed to be accessible. Therefore, many services that look older may actually be quite modern from this point of view. It’s worth remembering that once a page is designed to be accessible, it’s better for everyone to use.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"What we learned","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"The structure of the course is based on the lecture filmed in connection with the workshop, in which one topic is discussed and then there’s a practical assignment related to the topic to be done. In addition to the assignments, the ","nodeType":"text"},{"data":{"uri":"https://webaim.org/standards/wcag/checklist"},"content":[{"data":{},"marks":[],"value":"WebAim WCAG checklist","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" is used, and below are a few excerpts from the topics we covered.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"From a motoric or muscular movement point of view, navigating with a keyboard is simpler","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"Therefore, an easy way of improving the accessibility of a website is to pay attention to its keyboard navigability. When that’s easy to do, the website is often more understandable to the screen reader as well, or really to just about anyone.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"How does keyboard navigation work then? When browsing the internet with a keyboard, the tab key moves you forward and the tab + shift combination takes you back to the previous element. In addition, you can hide some so-called hidden elements, which only appear if the website is accessed using a keyboard alone. The function “Skip to main content” is a typical example of such planning and can be found, for example, on Helsingin Sanomat's website. Some services, such as social media channels, also use keyboard shortcuts in navigation. For example, Twitter displays keyboard shortcuts when you press the question mark. If your website has keyboard shortcuts, you should try to inform users about them as early as possible. When designing keyboard shortcuts, make sure they are not the same as, for example, the keyboard shortcuts for the computer's operating system.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Direct the user's attention to the right place","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"The elements to which the tab key or screen reader's focus is to be directed are specified in the code. Plain textual content within a div is not enough, so favor elements such as hyperlinks or buttons. The tab-index attribute can be used to change the order of the focus content and make the above-mentioned “Skip to main content” link, for example.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The focus should also be clear to a seeing user. By default, browsers frame the content in focus. Unfortunately, this may be overlooked if the layout of the user interface is designed without paying sufficient attention to accessibility.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"A screen reader reveals the functionality of a website","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"A screen reader reads a website’s content to the user. Users of Mac devices can access the screen reader directly at the operating system level without turning on VoiceOver or by downloading a screen reader to their browser. Windows users can, for example, try the free NVDA screen reader.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The accessibility of a site, or a lack of it, is revealed fairly quickly when using a screen reader. For example, the user might experience problems in using and filling out different forms if the operations do not use semantically correct HTML elements or the elements are incorrectly named.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Website accessibility can be improved with a few simple measures","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"The internet was designed to be accessible from the outset, and interactive elements such as hyperlinks, buttons, or input content have always been specified in the code. It's worth remembering to use them, that is, to refer to elements such as buttons with the HTML element that belongs to them. Using the right elements also makes the code easier to read.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"ARIA attributes can be used to improve, for example, instructions related to site components (aria-describedby) or to instruct a screen reader to actively read aloud what is happening. These can be designed, for example, in connection with the download of content or the submission of a form (aria live regions), in which case the user knows that the operation is in progress or that the selection is made.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Among developer tools, for example, VScode is good in terms of accessibility because it can fill in ARIA attributes automatically, which speeds up and makes it easier to use them in development work.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tools","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are good tools for improving and developing accessibility, and some of these have already been covered here. In addition to these, the NoCoffee plug-in for Google Chrome, for example, helps to illustrate various visual challenges, making it easy to work on your own page design from this perspective as well. Chrome Vox is another screen reader, available for Google Chrome, that allows you to consume web content even if you can't read it yourself.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are a lot of tools and information on web design out there that can help you take accessibility issues into account.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor has been providing accessible services for a long time. The most well-known examples of these are Osuuspankki's OP Saavutettava online bank service and Palvelukartta, the Helsinki Metropolitan Area Service Map. The accessibility law, which came into force in 2019 on the basis of the EU Directive, requires the websites and mobile applications of public sector bodies to be","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{"uri":"https://www.w3.org/WAI/standards-guidelines/wcag/"},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"WCAG","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" 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Joint Futures 2019","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"UDsIFSF3BAiV4KHrd0Hel7","type":"Asset","createdAt":"2020-11-27T17:02:23.673Z","updatedAt":"2020-11-27T17:02:23.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"insta_2600x1300.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/UDsIFSF3BAiV4KHrd0Hel7/0e2b9e4bb2a84792704f63a6159dc69f/insta_2600x1300.jpg","details":{"size":179752,"image":{"width":2600,"height":1301}},"fileName":"insta_2600x1300.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"​The craft of (product) design has never been as complex as in 2019. Staying ahead of the curve has never been more vital, and the industry seems to be just as excited as I am for what will unfold at Joint Futures.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"A 2-day conference dedicated to Design, organized by Elisa and supported by InVision and Rosenfeld, will take place on the 3rd of September 2019 in Helsinki, Finland. Joint Futures is the de facto event for industry news, trends, intelligence and buzzwords related to Design, Design Systems, Pattern Libraries and Style Guides. Previously named DS Conf, the primary aim of the conference was to promote how Design Systems (a.k .a. DS) can help build better products more efficiently.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, their focus has shifted slightly away from Design Systems towards a more holistic design conference. “Holistic design is understanding and solving problems in all those levels that design operates”, as Angelos Arnis, the head honcho behind the conference states in his recent ","nodeType":"text"},{"data":{"uri":"https://medium.com/joint-futures/towards-a-holistic-design-approach-122dcf4d02c0"},"content":[{"data":{},"marks":[],"value":"Medium article","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". It is healthy that we keep the conversation going on topics such as establishing the value of Design. But for me there is an even better reason I enjoy attending conferences.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I’ve prepared a short list of 5 reasons I’m going and what I’m looking forward to at this year's conference:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Professional Growth and Networking","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Understanding both the local and overseas designer landscape is one of the most efficient ways to propel one’s design career forward. I’ve attended many tech and design conferences over the years, and my design career has benefited from each one through all the valuable feedback and insights gained.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"Fc9IcpdxMerozgIAKZpbY5","type":"Asset","createdAt":"2020-11-27T16:55:47.365Z","updatedAt":"2020-11-27T16:55:47.365Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"An animated GIF of Will Ferrel speaking with caption “STRATEGERY”.","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/Fc9IcpdxMerozgIAKZpbY5/a0db3b4a26b79915ea74d207119b4b59/1_80jCBs5f3nFY98AysN8yTA.gif","details":{"size":899013,"image":{"width":392,"height":260}},"fileName":"1*80jCBs5f3nFY98AysN8yTA.gif","contentType":"image/gif"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"Me IRL talking about Strategerier Design","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"So, essentially I use conferences to more or less strategically figure out which direction I want to take in my career. For that, I first need to know where I stand. Putting myself through similar objective analysis I apply to my client’s design problems helps me focus my efforts where they are needed. It also gives me a clue on how to position myself as a designer or how to evolve the brand for ","nodeType":"text"},{"data":{"uri":"http://nitor.com/"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Nitor","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" or one of my side projects.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"My journey to Design Systems","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"For the past 15 years, I’ve focussed on what I believe to be my core skills, from digital branding to user experience and interfaces. Like many other designers, I started by designing logos, letterheads and prepared corporate guidelines for print. The next logical step was style guides and component (or pattern) libraries for digital solutions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"For the past 5 years in particular, I have focused my efforts on Design Systems. They are the best thing since sliced bread, but as an idea they are not especially new inventions. Designing using a modular workflow and documenting design has allowed the designer to make their work more visible, manageable and repeatable since the dawn of the craft itself. 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Being the talk of the industry, there are already many events and conferences aimed at designers and developers that are solely dedicated to Design Systems. 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They feature an amazing 28 speakers, 2 tracks, 3 themes and 4 keynotes and have partnered up with Rosenfeld Media to bring 4 optional workshops. Ultra-high expectations are justified with hosts like ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Jina Anne","nodeType":"text"},{"data":{},"marks":[],"value":"and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Dave Malouf","nodeType":"text"},{"data":{},"marks":[],"value":", speakers like ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Kim Goodwin","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tatiana Mac","nodeType":"text"},{"data":{},"marks":[],"value":" and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Janice M. Cho","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"OA2qwR1qlyjSAdYJhjBKO7","type":"Asset","createdAt":"2020-11-27T17:00:49.524Z","updatedAt":"2020-12-08T11:36:50.478Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"got components","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/OA2qwR1qlyjSAdYJhjBKO7/dfc8cdb62fbb7e9f7b1a2c8ced6b8c38/1_sxXeCBgfqiabLp30EbcGJA.gif","details":{"size":137468,"image":{"width":430,"height":304}},"fileName":"1*sxXeCBgfqiabLp30EbcGJA.gif","contentType":"image/gif"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Product (and industry) maturity check","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"I’m excited to hear how others have solved team related, cultural or organizational challenges in their projects. How they make the client fall in love with the workflows and tools proposed? What are the business and development practicalities with getting a DS up and running? What are the pros and cons of different Design System strategies?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"It's not that difficult to make a Design System look fantastic, but to make it work for everyone is hard work. Are all the big companies lying about the readiness of their systems like ","nodeType":"text"},{"data":{"uri":"https://www.designsystemtalks.com/talks/5-things-that-arent-true-about-design-systems"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Inayaili","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" suggested in her keynote at ","nodeType":"text"},{"data":{"uri":"https://patternsday.com/"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Patterns Day","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I’d like to point out that it is very important to keep in mind that Design Systems, much like design itself, should evolve with the product and it is a long-term commitment and I strongly believe that while DS’s are not for everyone, they can be very useful in complex omnichannel solutions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://www.designsystemtalks.com/talks/team-cultures-and-design-system-strategies"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Alla Kholmatova’s","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" (and ","nodeType":"text"},{"data":{"uri":"https://www.designsystemtalks.com/talks/5-things-that-arent-true-about-design-systems"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Inayaili de León Persson’s","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":") keynotes at ","nodeType":"text"},{"data":{"uri":"https://patternsday.com/"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Patterns Day 2017","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" were very enlightening and I hope to hear more on this topic from ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Alla","nodeType":"text"},{"data":{},"marks":[],"value":" next week.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"A Finnish take on Design Systems","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are many successful Design Systems abroad, but how about the ones here in Finland? Some companies are rather spooked and will not invest in a system that might or might not be adopted into wider use. However, I know there’s a few DS’s in the works as I’ve taken part in making a few myself. However, I know there’s a few DS’s in the works as I’ve taken part in making a few myself. Surely there’s many I didn’t even know existed? Next week I’ll find out exactly how my fellow Finns do IT.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mastering the craft","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Conferences are also good for picking up useful tips and best practices for (product) design at scale. It is as easy as listening to speakers talking about their own experiences and you get expert recommendations for improving speed, quality, and consistency with everything design related. Many events, organizers and keynote speakers also allow you to download or stream the talk and download related materials afterwards.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"As I am planning a medium-sized brand renewal, I will also attend Kristin Skinner’s workshop “","nodeType":"text"},{"data":{"uri":"https://jointfuturesconf.com/workshop/design-your-design-organization-kristin-skinner.html"},"content":[{"data":{},"marks":[],"value":"Design your own Design Organization","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"”.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"dBcRq0uurFj18M3skFDpA","type":"Asset","createdAt":"2020-11-27T16:56:09.644Z","updatedAt":"2020-11-27T16:56:09.644Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Web generated 3D text “TOOLS”","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/dBcRq0uurFj18M3skFDpA/d9d188511f6ed720bbb27d82e8e624df/1_hlEauoAPYw4Ik-gK2Y09jg.png","details":{"size":34655,"image":{"width":682,"height":162}},"fileName":"1*hlEauoAPYw4Ik-gK2Y09jg.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"New Tools","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"I always keep my eyes peeled for new tools that can evolve or even revolutionize how we collaborate within a team and enable us to deliver engaging, habit forming products more efficiently. I most likely spend too much of my non-billable hours scouring the internet and reading up on blogs for any notion of new tools that might increase productivity. Whether desktop or web-based, they encourage consistency and help me be more creative. At conferences I don’t have to scour for hours on end.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Being the total design tool nerd I am, I hope to find shiny new toys to add to my workflow. A while ago, Figma was one of these finds. I love Sketch, but when I switched to Figma, I found their approach more suitable for me. With the new plugin support, I have great expectations for what they have lined up for the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The third tool I couldn’t live without would be ","nodeType":"text"},{"data":{"uri":"https://zeroheight.com/"},"content":[{"data":{},"marks":[],"value":"Zeroheight","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". It has proven to be the best platform to showcase, store and collaborate on design systems.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"(Others on the list of tools I couldn’t live without are probably ","nodeType":"text"},{"data":{"uri":"https://procreate.art/"},"content":[{"data":{},"marks":[],"value":"Procreate Painter","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" and ","nodeType":"text"},{"data":{"uri":"https://www.roughanimator.com/"},"content":[{"data":{},"marks":[],"value":"RoughAnimator","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" for iPad.)","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In conclusion, I think the 2019 Joint Futures event will surely allow me to meet a lot of talented people and I’m adamant that my expectations will be met and even exceeded.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We have prepared a little booth with some fellow Nitoreans hanging around so do pop by to say hi. If by any chance you are shopping around for someone to take on the design and implementation of your organization’s Design System or you are looking for work in designing them, look no further than ","nodeType":"text"},{"data":{"uri":"http://nitor.com/"},"content":[{"data":{},"marks":[],"value":"Nitor","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4EYHnV3vEcwjo0Df5QE1VP","type":"Entry","createdAt":"2020-10-28T20:42:03.147Z","updatedAt":"2020-10-28T20:42:03.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Design","slug":"design"}}],"slug":"why-im-excited-about-joint-futures-2019","publishDate":"2019-09-02","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"WfvCTShnvev0A9bk3pTFV3","type":"Entry","createdAt":"2020-12-08T08:19:14.659Z","updatedAt":"2020-12-17T23:39:01.407Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Key takeaways from SXSW: a festival of weird and innovation","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"8n9OQE2WW0QrBoFFX5rMh2","type":"Asset","createdAt":"2020-11-27T16:56:06.358Z","updatedAt":"2020-12-08T08:06:26.512Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"People at South by South-West -event, posing in front of a wall","description":"People at SXSW","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/8n9OQE2WW0QrBoFFX5rMh2/787545d4dfa2411f73e54c4be85fd782/03619-SXSW2019-ed.jpg","details":{"size":1604893,"image":{"width":1600,"height":902}},"fileName":"03619-SXSW2019-ed.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"This Spring Nitor’s Digital Engineers visited Austin’s South by Southwest. This is a summary of the ideas and best events we attended.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The topics and style of each keynote varied tremendously at South by Southwest. 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Thoughtful entertainment always comments on the current events, for example, the Chinese government’s social credit system by 2020 is straight out of Black Mirror.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We should – by default – design inclusive products","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Universal design as a term stems from architecture. It means a way of designing a building that is naturally accessible for most people as opposed to buildings that are designed for the standard able-bodied person and features, like a wheelchair ramp are special additions. Universal design can of course be applied to our software products as well.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Whatever product you’re creating some of your users will have accessibility needs. 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Copying from a hundred is research.” More passions can make you a more empathic designer. At some point we seem to forget this: children don’t think in different disciplines but adults often feel stuck in their domain.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"This got me seemingly so worked up that one evening, when riding home in an Uber I started discussing the idea with the driver. He told me he’d given up playing the piano (which he used to do professionally) and started taking pilot classes. I yelped “No! You have to do both: we don’t have enough piano-playing pilots and that is what makes you special.”","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"A modern professional doesn’t have to heed to one discipline or even profession in their lifetime. Continuous learning will help you create better, more universal products. 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Powerful AI solutions can then use that data to automatically generate variations of interfaces, optimize inventories, balance server load and so much more. When a genetic algorithm can independently explore and test hundreds of alternative and choose the ones that are proven to work, who needs a designer anymore?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Clearly data helps us optimize our systems based on their results,\n\nbut how do you know what to optimize for?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"This is where design and data meet in an interesting way. 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What is the tone this AI assistant should ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=5h8m57s"},"content":[{"data":{},"marks":[],"value":"deliver news we can’t imagine yet","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=2h54m49s"},"content":[{"data":{},"marks":[],"value":"Zalando","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" presented a really useful model for understanding the relationship between data, intelligence and experience. Let’s say you’re building a smart service that helps grocery shoppers discover suitable recipes and gather them at their local grocery store. As the customer walks out of the store with flour, milk, sugar and eggs, ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"data","nodeType":"text"},{"data":{},"marks":[],"value":" is being generated. Based on the ingredients and the customer’s history, a solution’s ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"intelligence","nodeType":"text"},{"data":{},"marks":[],"value":" layer can draw a conclusion that this person is baking a cake. But the AI can’t understand the ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"experience","nodeType":"text"},{"data":{},"marks":[],"value":" of baking a cake with your friends, which is the reason the customer went to the store in the first place. Experience defines the purpose of the solution that is enabled by intelligence and built on a foundation of data.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4CvIw3Wfvw8BeOE4ihxVu","type":"Asset","createdAt":"2020-11-27T16:55:27.432Z","updatedAt":"2020-11-27T16:55:27.432Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"kolmio.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/4CvIw3Wfvw8BeOE4ihxVu/0841d0bb8da57eed5782cf9b47f3ce32/kolmio.png","details":{"size":54888,"image":{"width":1466,"height":708}},"fileName":"kolmio.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"We here at Nitor know that digital engineers, data scientists and designers have to collaborate seamlessly to create value. 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There is an abundance of data – the number of visits per season, what services were used and in what order, how long was customer at the park, and so on. And if the data is accurate, we can create intelligent solutions that take the data, make conclusions, adapt and measure against key performance indicators. 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Up to this day, we have arranged 220 courses and trained over 3,500 people in 13 countries.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We believe that SAFe is the most effective way to be agile at the moment. 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The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5fnCtE1n3J6l3hrfcIwKb6","type":"Entry","createdAt":"2020-11-11T06:51:22.374Z","updatedAt":"2020-12-21T08:24:48.500Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Business optimisation","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Successful businesses predict future possibilities and act on them quickly. Strategies that can turn opportunities into actions form the basis of sustainable digital development. However, you would be wrong to think brilliant algorithms are at the core of all data-driven operations. Real success is rooted in the ability to simplify key questions and present them as mathematical models. We can help you formulate the right abstraction for the right question – and deliver the answers your business has been looking for. ","marks":[],"data":{}}],"data":{}}]},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6CWb2esZsQNFH1dItGAv2l","type":"Entry","createdAt":"2020-12-09T07:10:27.084Z","updatedAt":"2020-12-09T14:43:42.884Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"en-US"},"fields":{"name":"Read how we improved customer experience with data science","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"providing-business-value-data-science-finnair-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"60V2KyzLyECDfQbUZjN0wl","type":"Entry","createdAt":"2020-11-11T06:52:15.070Z","updatedAt":"2020-12-21T08:25:16.135Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":8,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Machine learning and artificial intelligence","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Machine learning and artificial intelligence can solve classification problems and detect patterns in large volumes of data efficiently. We use them for risk assessment and customer profiling, among other things. We can help you efficiently map out applications for artificial intelligence and turn models into finished products.","marks":[],"data":{}}],"data":{}}]},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ueCpzpX0l4egaRjz1NbuR","type":"Entry","createdAt":"2020-12-09T07:14:51.015Z","updatedAt":"2020-12-09T14:43:06.744Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"en-US"},"fields":{"name":"Nitor invests in Artificial Intelligence","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"​Nitor invests in Artificial Intelligence","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor has founded a new business focused on Artificial Intelligence. Nitor Insight will offer research and consulting services on data science, AI, and machine learning. Nitor Insight started its operations in early 2018 and will be developed into a significant part of Nitor’s services and business.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor Insight’s launch has been prepared by Nitor’s Data Scientists ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" , ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":", and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" as well as Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":".","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“We are extremely excited about launching Nitor Insight. AI and machine learning are an essential part of sustainable digital development. By broadening our offering, we can produce even better services for our current customers as well as target entirely new business areas,” ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":", Nitor’s CEO, explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"AI, machine learning, and data science have become increasingly popular within the past few years and continue to be hot topics. Advanced technologies, increasing amounts of data, and the development of platforms such as Amazon, Google, and Microsoft, make the solutions an even bigger part of everyday life.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Our customers handle large amounts of data, and machine learning is a way to create value out of this data. We have utilized machine learning throughout the years in making prognoses and recommendations within, for example, the media, finance, retail, logistics, and transportation industries. Lately, we have especially worked with different kinds of customer-service chatbots and other speech-related services,” Otto Manninen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Even though there is plenty of hype around AI, practicality and creating real value is a priority at Nitor Insight. Machine learning enables automation of solutions that wouldn’t have been sensible with traditional methods. People can focus on solving more important problems, aided by machines.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The benefits are obvious: machine learning is now mature enough that it can be used in business-critical systems. Consumers are also increasingly starting to demand intelligent functions from all the services they use. And these are now often based on machine learning,” Tuomas Ritola explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In addition to automating routine actions as well as supplementing current digital services, AI and machine learning offer many interesting new possibilities. Ideas move quickly from the academic world into productization and commercialization.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The development of speech recognition and natural language processing has created opportunities for new kinds of chat-based services. The AI platforms and personal assistants from the big service providers will slowly change people’s habits and expectations of how to transact with businesses,” Juha Syrjälä says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“I would estimate that the next big discussion topic after deep learning will be Generative Adversarial (Neural) Networks or GANs. These neural networks enable AI to learn how to create realistic photographs and other visualizations. It will be also interesting to see when Neural Processing Unit or NPU-accelerated devices become common and alter the current computation ecosystems,” Sami Airaksinen adds.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With Nitor Insight, AI, machine learning, and data science are now a significant part of Nitor’s services. They are a part of Nitor’s sustainable digital development that already includes pragmatic architecture, design, large-scale agility, and technology services.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"nitor-invests-artificial-intelligence","publishDate":"2018-06-13"}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6IMKZh2y8erek8LfALQz3P","type":"Entry","createdAt":"2020-11-11T06:53:12.936Z","updatedAt":"2020-12-21T08:25:47.769Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Data storage and management","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Proper storage and management of data enables the seamless development and elegant utilisation of analytics, data management and other data-based services. Our cost-effective solutions are always guided by the principles of information security, reliability and the ability to scale to meet your organisation’s needs.","marks":[],"data":{}}],"data":{}}]}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2zNC67HdO7loGBkCFSLTgk","type":"Entry","createdAt":"2020-12-09T07:33:49.356Z","updatedAt":"2020-12-14T14:32:40.852Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"contactBlock"}},"locale":"en-US"},"fields":{"title":"Contact us","additionalInfo":["phone number","email"],"people":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1zz3jysm45N7BDTO2fAzhZ","type":"Entry","createdAt":"2020-12-17T16:36:01.798Z","updatedAt":"2020-12-17T16:36:01.798Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"en-US"},"fields":{"name":"Analytics articles highlight","title":"Read more","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"providing-business-value-data-science-finnair-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"​Nitor invests in Artificial Intelligence","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor has founded a new business focused on Artificial Intelligence. Nitor Insight will offer research and consulting services on data science, AI, and machine learning. Nitor Insight started its operations in early 2018 and will be developed into a significant part of Nitor’s services and business.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor Insight’s launch has been prepared by Nitor’s Data Scientists ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" , ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":", and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" as well as Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":".","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“We are extremely excited about launching Nitor Insight. AI and machine learning are an essential part of sustainable digital development. By broadening our offering, we can produce even better services for our current customers as well as target entirely new business areas,” ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":", Nitor’s CEO, explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"AI, machine learning, and data science have become increasingly popular within the past few years and continue to be hot topics. Advanced technologies, increasing amounts of data, and the development of platforms such as Amazon, Google, and Microsoft, make the solutions an even bigger part of everyday life.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Our customers handle large amounts of data, and machine learning is a way to create value out of this data. We have utilized machine learning throughout the years in making prognoses and recommendations within, for example, the media, finance, retail, logistics, and transportation industries. Lately, we have especially worked with different kinds of customer-service chatbots and other speech-related services,” Otto Manninen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Even though there is plenty of hype around AI, practicality and creating real value is a priority at Nitor Insight. Machine learning enables automation of solutions that wouldn’t have been sensible with traditional methods. People can focus on solving more important problems, aided by machines.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The benefits are obvious: machine learning is now mature enough that it can be used in business-critical systems. Consumers are also increasingly starting to demand intelligent functions from all the services they use. And these are now often based on machine learning,” Tuomas Ritola explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In addition to automating routine actions as well as supplementing current digital services, AI and machine learning offer many interesting new possibilities. Ideas move quickly from the academic world into productization and commercialization.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The development of speech recognition and natural language processing has created opportunities for new kinds of chat-based services. The AI platforms and personal assistants from the big service providers will slowly change people’s habits and expectations of how to transact with businesses,” Juha Syrjälä says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“I would estimate that the next big discussion topic after deep learning will be Generative Adversarial (Neural) Networks or GANs. These neural networks enable AI to learn how to create realistic photographs and other visualizations. It will be also interesting to see when Neural Processing Unit or NPU-accelerated devices become common and alter the current computation ecosystems,” Sami Airaksinen adds.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With Nitor Insight, AI, machine learning, and data science are now a significant part of Nitor’s services. 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How can you develop your business, when an increasing amount of uncontrollable change factors are affecting customer behaviour, expectations and even the chances of accessing the services offered?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We are still weary after the onslaught of COVID-19 last spring, but positive expectations help us all move on. However, few organisations can afford to rely on glorious expectations alone. The past months have revealed how vulnerable, but also how agile companies are in terms of change. But most of all, the experience has taught us what it is we need to do right now in order to be successful in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I have discussed with several business executives over the past weeks and followed general financial news, and I think it’s safe to say that many business fundamentals are in disarray. It is not just the service channels and production lines that have undergone transformation: customer choices, business models and their implementation have changed as well. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Business models, decision-making, talent flexibility and operational agility have been put to the test in many business sectors. As many restaurants had to close their doors, employees were transferred to grocery stores to support their online shopping and delivery service capacity. ABC service stations started delivering pre-ordered meals safely and easily straight to cars. The design and production processes of display furnishers were tuned to the production of plexiglass shields for the checkout counters of take away restaurants and retail stores. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The ability to innovate, experiment and quickly implement has saved many companies from dire straits.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Look ahead","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the midst of the pandemic we go from one phase to another and try to predict the next ones. We identify and assess different measures that we can adopt in order to prepare for the next phases and to overcome them. After the initial shock, a growing number of companies are getting prepared for the post-pandemic world. It will come, and although it might be difficult to see during the acute crisis, the seeds for future growth are sown in the midst of the present crisis. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Consequently, I would like to encourage leaders to cast their eyes over the crisis and to engage their organisations to do so as well. While managers are doing their best to minimise the current financial and personal losses, it is essential that they also take time for devising visions and plans for the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tolerate uncertainty","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"While the past months have taught us a lesson or two, we still cannot foretell the future. But we are certainly better equipped to prepare for it. A growing number of companies are developing and implementing tools for understanding and predicting future customer needs and factors that drive change in their operating environment.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Scenarios are modeled and evaluated on the basis of data, customer insight, business risks and opportunities. By selecting the appropriate scenario, companies can direct their future business while finding their balance in the current storm. But you should not waste too much time on selecting the right scenario. If you wait for the fog to subside before you make your pick, you have already lost.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Develop talents","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"A successful leader dares to break normative leadership structures. The ability to focus needs to be coupled with the ability to be sensitive to the buzz surrounding our operating environment; it is important to recognise and evaluate the flickering signals. Our tendency to rely on what we know and trust has been put to question. We no longer draw strength from past success and the lessons learnt. We are refiguring our business position in uncertainty — and striving towards a goal that is likely to shift.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"An exploring, pivoting culture will be an integral part of the new normal — not just in service design and production, but also in leadership and strategy work. Fortunately, it is possible to develop both managerial and organisational resilience. It is also possible to utilise","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"underline"}],"value":"technology, data and analytics","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" to help in anticipation, business scenario assessment and testing in increasingly agile and customer-oriented ways.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Dare to reform","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Although the instinctive first reaction to an acute crisis is to turn inwards, overcoming it demands looking outwards. Surviving the quick turns of last spring has given us the strength, ability and tools to design and decide how to be relevant in the future. Currently we are dismantling silos and breaking locked-in value chains and ecosystems. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Realignment and new partnerships will invigorate many. Flexible processes and the ability to react and decide quickly enable you to produce added value for customers, whose behaviour is still guided by a growing number of change factors, some of which are hard to predict. It is time to move on and to build the new normal proactively.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor helps in the management of digital transformation, in the development of agile strategies and growth, in planning sustainable architecture solutions and in renewing organisational resilience. 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How can you develop your business, when an increasing amount of uncontrollable change factors are affecting customer behaviour, expectations and even the chances of accessing the services offered?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We are still weary after the onslaught of COVID-19 last spring, but positive expectations help us all move on. However, few organisations can afford to rely on glorious expectations alone. The past months have revealed how vulnerable, but also how agile companies are in terms of change. But most of all, the experience has taught us what it is we need to do right now in order to be successful in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I have discussed with several business executives over the past weeks and followed general financial news, and I think it’s safe to say that many business fundamentals are in disarray. It is not just the service channels and production lines that have undergone transformation: customer choices, business models and their implementation have changed as well. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Business models, decision-making, talent flexibility and operational agility have been put to the test in many business sectors. As many restaurants had to close their doors, employees were transferred to grocery stores to support their online shopping and delivery service capacity. ABC service stations started delivering pre-ordered meals safely and easily straight to cars. The design and production processes of display furnishers were tuned to the production of plexiglass shields for the checkout counters of take away restaurants and retail stores. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The ability to innovate, experiment and quickly implement has saved many companies from dire straits.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Look ahead","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the midst of the pandemic we go from one phase to another and try to predict the next ones. We identify and assess different measures that we can adopt in order to prepare for the next phases and to overcome them. After the initial shock, a growing number of companies are getting prepared for the post-pandemic world. It will come, and although it might be difficult to see during the acute crisis, the seeds for future growth are sown in the midst of the present crisis. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Consequently, I would like to encourage leaders to cast their eyes over the crisis and to engage their organisations to do so as well. While managers are doing their best to minimise the current financial and personal losses, it is essential that they also take time for devising visions and plans for the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tolerate uncertainty","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"While the past months have taught us a lesson or two, we still cannot foretell the future. But we are certainly better equipped to prepare for it. A growing number of companies are developing and implementing tools for understanding and predicting future customer needs and factors that drive change in their operating environment.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Scenarios are modeled and evaluated on the basis of data, customer insight, business risks and opportunities. By selecting the appropriate scenario, companies can direct their future business while finding their balance in the current storm. But you should not waste too much time on selecting the right scenario. If you wait for the fog to subside before you make your pick, you have already lost.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Develop talents","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"A successful leader dares to break normative leadership structures. The ability to focus needs to be coupled with the ability to be sensitive to the buzz surrounding our operating environment; it is important to recognise and evaluate the flickering signals. Our tendency to rely on what we know and trust has been put to question. We no longer draw strength from past success and the lessons learnt. We are refiguring our business position in uncertainty — and striving towards a goal that is likely to shift.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"An exploring, pivoting culture will be an integral part of the new normal — not just in service design and production, but also in leadership and strategy work. Fortunately, it is possible to develop both managerial and organisational resilience. It is also possible to utilise","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"underline"}],"value":"technology, data and analytics","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" to help in anticipation, business scenario assessment and testing in increasingly agile and customer-oriented ways.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Dare to reform","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Although the instinctive first reaction to an acute crisis is to turn inwards, overcoming it demands looking outwards. Surviving the quick turns of last spring has given us the strength, ability and tools to design and decide how to be relevant in the future. Currently we are dismantling silos and breaking locked-in value chains and ecosystems. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Realignment and new partnerships will invigorate many. Flexible processes and the ability to react and decide quickly enable you to produce added value for customers, whose behaviour is still guided by a growing number of change factors, some of which are hard to predict. It is time to move on and to build the new normal proactively.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor helps in the management of digital transformation, in the development of agile strategies and growth, in planning sustainable architecture solutions and in renewing organisational resilience. 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The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. 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","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"uVrVvtieWJKXzDXiRrfx8","type":"Entry","createdAt":"2020-12-08T08:36:19.128Z","updatedAt":"2020-12-18T08:00:54.648Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"DNA, a GPTW Winner, Set the Bar for Agile Sky High","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6hcWQEEC2lhQpVJ9sd6Ha","type":"Asset","createdAt":"2020-12-08T08:22:02.301Z","updatedAt":"2020-12-08T08:22:02.301Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"DNA headquarter","description":"Outside teleoperator DNA's headquarter, company flags","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6hcWQEEC2lhQpVJ9sd6Ha/12266d1101d728f0dd8c1d071b7a00ad/Blogi_dna_ketteryydentila_analyysi.jpg","details":{"size":923137,"image":{"width":2400,"height":1350}},"fileName":"Blogi_dna_ketteryydentila_analyysi.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The Finnish mobile network operator DNA has done a fantastic job over the years in making its IT functions more agile. The agile development methodologies fit in well with DNA’s bold and experimentative culture.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"DNA had already discovered the benefits of agile methodologies through faster and smoother development, but they also noticed that it’s nowhere near enough to stop the agile transformation at the product development level. The best possible results are achieved when agility is adopted by the entire organization – including top management.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To find out how to fully utilize the benefits of agile, DNA’s HR Director ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Marko Rissanen","nodeType":"text"},{"data":{},"marks":[],"value":" asked us to check the status of agility in their organization with the help of our Current state analysis.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“When the development needs were brought into the open, it helped DNA to take the next step towards bringing agile forward, with a strong mandate from the management,” Rissanen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"What does the current state analysis entail? ","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the Current state analysis, we sink our teeth into topics such as structures around decision-making, the flow of information, optimization, teamwork, learning, and customer orientation. The analysis aims to map out the broad agility status as well as the future possibilities of an organization to support enterprise agility.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Finding out the status of agility in product or service development isn’t the only goal. We also aim at including different operations throughout the organization as widely as possible.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Who can benefit from the current\nstate analysis?","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"We have executed the analysis, for example, in a big organization in the catering industry. What we noticed was that the traditional project-based way to operate is way too stiff for fast-paced changes such as food trends. This demonstrated nicely that the ingrained concepts in the restaurant business can also be challenged with the help of agile analysis.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We can confidently say that the Current state analysis suits organizations which already utilize agile methodologies as well as those who are still considering to introduce agile transformation into their everyday way of working.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The results of the analysis are refined together","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The results of the analysis are processed together with the staff and management in order to get everyone on board right from the start. When the results are formulated as concrete actions and next steps, it also helps to create a common vision of agile. This plays a big part in launching the change at an organizational level right away.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With the State of Agile analysis, the organization is able to receive an unbiased outsider view on its status. Our strong background in research and vast experience in agile transformation allows us to see under the surface – and dive into the root causes that aren’t always visible in the day-to-day operations. This is how we make sure that the development targets are correctly selected instead of risking focusing on more shallow goals, that would need more profound attention in the long run.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The analysis is always performed by two coaches to ensure the best possible quality. 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They made the test environment public last June and are launching the actual network during 2020.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Bitcoin has now existed for over a decade, and almost everyone has owned bitcoin at some point – or at least knows someone who has. Still, bitcoin never became the digital money it was meant to be. Most probably, your local grocery store doesn’t accept it, nor do you use it when you need to transfer money to your friends or family. The reasons holding most of the cryptocurrencies back include their inability to scale and the volatility of their value.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Facebook is now on a mission to create a new crypto-currency for the masses, with features that target the problems with the previous ones:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Instead of creating the currency by mining and leaving the value to be determined by the market, Libra will have the value of the currency backed by a reserve of assets like bank deposits and government securities. This means that the value of Libra should only fluctuate based on the value of these backing assets.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Only trusted parties, the members of the Libra Association, are allowed to run servers that validate the transactions. Therefore, the proof-of-work mechanism is not required. This increases both the speed and throughput of processing transactions (and does not require the crazy amounts of electricity consumed by the big cryptocurrencies). The validating nodes still have to agree to confirm a transaction, and the network can tolerate up to ⅓ of the validators to be compromised.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"The test environment for Libra has been available since June, so developers and companies can already start getting prepared for making and accepting payments in Libra.The rest of this article explains the basic concepts of Libra and has code examples for creating transactions in the testnet to show you how easy transferring money can be with Libra.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Sending money to your friend shouldn’t be harder than getting them an Uber ride home. Libra has the potential to bridge the gap between traditional financial networks and new digital currency technology while reducing the costs for everyone — especially consumers.\n\n- Peter Hazlehurst, Head of Payments and Risk, Uber Technologies, Inc.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"Accounts","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The only thing you need for setting up a new account for sending and receiving transactions is a public-private key pair you can create by using the Ed25519 signature scheme. This key-pair is used to sign the transactions digitally, and the account identifier (address) is derived from the public key by hashing. You can create a new account in the Libra system by sending money to it or by making an account creation transaction.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"After creating the key-pair, you can create the account address by making a SHA3 hash of the public key.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Transactions","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"To make a transaction, you need to specify the following information:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Transaction sequence number","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Gas amount. Gas is a small payment for making the transaction that will be deducted from the sender account.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Sender account address","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Expiration time","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The public key of the sending account","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Transaction script with arguments","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Signature","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"You also need to serialize the transaction data by using a serialization mechanism that is unique to Libra. The serialized data is then signed, and the transaction is ready to be sent to the Libra API.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The amount of money to be sent nor the receiver of the payment is not specified in the transaction attributes. This information is included in the transaction script and arguments, which are written in a Libra-specific programming language called Move.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"‘Move’ transaction script","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The transaction script makes it possible for you to create much more complex transactions than simple money transfers from one account to another. These type of programmable transactions are also called “smart contracts”, and you can also specify for example several receivers for the money and define conditions that need to be met for the transaction to go through.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"For this, Libra has its own programming language called Move. A Libra -specific programming language was designed to efficiently and safely create logic around transactions.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To get started, you don’t need to learn this new language, as there are ready-made scripts for most common use cases in the Libra code repository.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Libra API","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Libra API uses gRPC, which is a web-service framework created by Google. The API is defined in service definition files, which are used to generate the client code for different platforms. The testnet API is running at ","nodeType":"text"},{"data":{"uri":"http://ac.testnet.libra.org:8000"},"content":[{"data":{},"marks":[],"value":"http://ac.testnet.libra.org:8000","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" and can be accessed without registration.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"For testing purposes, Libra also provides a service for adding money (minting) to test accounts.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Behind the API, the transaction will go through different validations after which it will be sent to other validator nodes in the network. The validators will vote on the transaction to be executed, and the changes will then be written to the ledger. You can find a more detailed description from the Libra documentation: ","nodeType":"text"},{"data":{"uri":"https://developers.libra.org/docs/life-of-a-transaction"},"content":[{"data":{},"marks":[],"value":"https://developers.libra.org/docs/life-of-a-transaction","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Making the API call","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"JLibra is a Java client library I started implementing as an open source project after the testnet was made public. JLibra is used for creating transactions and querying information about the accounts. There are also several other client libraries available for different programming languages. By using a client library, you don’t need to implement the serialization, signing and the gRPC call yourself. If you are interested in the details of those, you can find them in the source code.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The first step is to generate key-pairs for the accounts that are involved in the transaction. ","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GenerateKeysExample.java"},"content":[{"data":{},"marks":[],"value":"GenerateKeysExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Next, you need to create some money for testing purposes. This is done using the Libra faucet API and is obviously only available in the test environment. ","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/MintExample.java"},"content":[{"data":{},"marks":[],"value":"MintExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"After creating money in the accounts, you can check the balance by querying the API. From the response, you can also find the account sequence number for the transaction. ","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/GetAccountStateExample.java"},"content":[{"data":{},"marks":[],"value":"GetAccountStateExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"Now you can transfer the money minted in step 2 between accounts.","nodeType":"text"},{"data":{"uri":"https://github.com/ketola/jlibra/blob/master/jlibra-examples/src/main/java/dev/jlibra/example/TransferExample.java"},"content":[{"data":{},"marks":[],"value":"TransferExample.java","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Hopefully, you got an idea of how simple and fast transferring money can be with Libra. 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Now your app can have all the good stuff from both native and web apps in one application and you have total control of the deployment (no app stores), encrypted notifications (not readable by third party services) and your users can choose to install the application on their devices allowing connectivity independence and native app-like experience.\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Sounds to good to be true?","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"Almost. The features are only available in the latest versions of the modern browsers but you can start implementing your progressive app today. Users with modern browsers get the good stuff immediately and others can use the same app the traditional way: through the browser window until support for these new features spread.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The share of Chrome users is already over 50% so I believe this is viable option, if you are considering a new application now. For example Twitter has already a PWA in production, try surfing to ","nodeType":"text"},{"data":{"uri":"https://mobile.twitter.com/"},"content":[{"data":{},"marks":[],"value":"https://mobile.twitter.com/","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" with an up to date version of Chrome on your mobile device and you’ll get a taste of it.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Progressive Web Apps — Part II: Add offline support for a web application","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://medium.com/@sauliketola/progressive-web-apps-the-new-way-of-making-mobile-apps-part-i-6c05824247e3"},"content":[{"data":{},"marks":[],"value":"This article was originally posted on Medium.","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5F8fHrCXlNSv6hSxYjD48V","type":"Entry","createdAt":"2020-06-29T11:43:04.392Z","updatedAt":"2020-06-29T11:43:04.392Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Technology","slug":"technology"}}],"slug":"progressive-web-apps-part-1-new-way-making-mobile-apps","publishDate":"2017-05-30"}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"IyLeZBQtuclxtsMDrIJML1","type":"Entry","createdAt":"2020-12-08T07:51:49.571Z","updatedAt":"2020-12-17T16:10:34.342Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Using keyboard as an output device","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"hWRVK50AaSoPoB7N8fKTf6","type":"Asset","createdAt":"2020-11-27T16:56:12.250Z","updatedAt":"2020-11-27T16:56:12.250Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"keyboard_is_the_medium.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/hWRVK50AaSoPoB7N8fKTf6/57abc0d522a16b3e38839ccd42b0ef28/keyboard_is_the_medium.png","details":{"size":749383,"image":{"width":1332,"height":749}},"fileName":"keyboard_is_the_medium.png","contentType":"image/png"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In our previous post, we fixed a backlit keyboard. 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Much of our daily activity is carried out online, and everyone should be able to use the same services easily. Read some tips from our digital designers Annina and Jesse for better online accessibility.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Accessibility means that websites and mobile applications and their content are designed so that anyone can use them successfully. Accessibility is also an increasingly important success factor in the development of digital services and the related user experience.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The role of the designer and developer in accessible digital services","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"When designing online services, it is important to be aware that services are made accessible in the code. The members of the development team must understand both each other and the end-user in order to provide the service with, for example, functional color contrasts, responsive text size, and a semantically clear code that allows use with a keyboard or screen reader.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"That’s why we, two digital designers, decided to venture out and attend the Frontend Master ","nodeType":"text"},{"data":{"uri":"https://frontendmasters.com/courses/web-accessibility/"},"content":[{"data":{},"marks":[],"value":"Web Accessibility","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" course dealing with the basics of accessibility in website implementation. The lecture part of the course lasts about three hours, but we booked a whole training day so that we could also do the course exercises and supplementary studies at the same time. We also got a lot more out of the lecture section as we took time to discuss the topics and the observations and questions that came out of that. At Nitor, learning is valued: everyone has the opportunity to spend five working days a year on training and in addition, we spend about 10 percent of our working time developing our own projects.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The basics of accessibility","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"The accessibility of a website is based on the fact that even people with a disability can interpret, understand and contribute to things online as well as navigate and interact with the internet. At the beginning of the course, the lecturer provided an example of how people got frustrated with filing taxes. In Finland, digital tax services are significantly more user-friendly but it was easy to identify with the frustration. The example immediately increased our empathy for people who find digital services constantly challenging.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"About one in five of us has a disability. In the United States, for example, many people have impaired vision despite using glasses. This leads to problems such as difficulty interpreting words and letters. In addition to visual and aural impairments, digital service providers must also take into account such matters as attention deficit disorders, learning disabilities, and physical impairments that make it difficult or even impossible to use a mouse, for example.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are many different ways in which users can navigate websites. For example, using a keyboard, a mouse, and an on-screen virtual keyboard or by using a mouse stick or head wand. Websites designed for visually impaired or blind users come to life through a screen reader. For us, the least familiar tool was the so-called single switch, where a single key can be used to command a computer.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In terms of accessibility, it should be noted that the internet was designed to be accessible. Therefore, many services that look older may actually be quite modern from this point of view. It’s worth remembering that once a page is designed to be accessible, it’s better for everyone to use.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"What we learned","nodeType":"text"}],"nodeType":"heading-3"},{"data":{},"content":[{"data":{},"marks":[],"value":"The structure of the course is based on the lecture filmed in connection with the workshop, in which one topic is discussed and then there’s a practical assignment related to the topic to be done. In addition to the assignments, the ","nodeType":"text"},{"data":{"uri":"https://webaim.org/standards/wcag/checklist"},"content":[{"data":{},"marks":[],"value":"WebAim WCAG checklist","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" is used, and below are a few excerpts from the topics we covered.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"From a motoric or muscular movement point of view, navigating with a keyboard is simpler","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"Therefore, an easy way of improving the accessibility of a website is to pay attention to its keyboard navigability. When that’s easy to do, the website is often more understandable to the screen reader as well, or really to just about anyone.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"How does keyboard navigation work then? When browsing the internet with a keyboard, the tab key moves you forward and the tab + shift combination takes you back to the previous element. In addition, you can hide some so-called hidden elements, which only appear if the website is accessed using a keyboard alone. The function “Skip to main content” is a typical example of such planning and can be found, for example, on Helsingin Sanomat's website. Some services, such as social media channels, also use keyboard shortcuts in navigation. For example, Twitter displays keyboard shortcuts when you press the question mark. If your website has keyboard shortcuts, you should try to inform users about them as early as possible. When designing keyboard shortcuts, make sure they are not the same as, for example, the keyboard shortcuts for the computer's operating system.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Direct the user's attention to the right place","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"The elements to which the tab key or screen reader's focus is to be directed are specified in the code. Plain textual content within a div is not enough, so favor elements such as hyperlinks or buttons. The tab-index attribute can be used to change the order of the focus content and make the above-mentioned “Skip to main content” link, for example.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The focus should also be clear to a seeing user. By default, browsers frame the content in focus. Unfortunately, this may be overlooked if the layout of the user interface is designed without paying sufficient attention to accessibility.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"A screen reader reveals the functionality of a website","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"A screen reader reads a website’s content to the user. Users of Mac devices can access the screen reader directly at the operating system level without turning on VoiceOver or by downloading a screen reader to their browser. Windows users can, for example, try the free NVDA screen reader.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The accessibility of a site, or a lack of it, is revealed fairly quickly when using a screen reader. For example, the user might experience problems in using and filling out different forms if the operations do not use semantically correct HTML elements or the elements are incorrectly named.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Website accessibility can be improved with a few simple measures","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"The internet was designed to be accessible from the outset, and interactive elements such as hyperlinks, buttons, or input content have always been specified in the code. It's worth remembering to use them, that is, to refer to elements such as buttons with the HTML element that belongs to them. Using the right elements also makes the code easier to read.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"ARIA attributes can be used to improve, for example, instructions related to site components (aria-describedby) or to instruct a screen reader to actively read aloud what is happening. These can be designed, for example, in connection with the download of content or the submission of a form (aria live regions), in which case the user knows that the operation is in progress or that the selection is made.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Among developer tools, for example, VScode is good in terms of accessibility because it can fill in ARIA attributes automatically, which speeds up and makes it easier to use them in development work.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tools","nodeType":"text"}],"nodeType":"heading-4"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are good tools for improving and developing accessibility, and some of these have already been covered here. In addition to these, the NoCoffee plug-in for Google Chrome, for example, helps to illustrate various visual challenges, making it easy to work on your own page design from this perspective as well. Chrome Vox is another screen reader, available for Google Chrome, that allows you to consume web content even if you can't read it yourself.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"There are a lot of tools and information on web design out there that can help you take accessibility issues into account.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor has been providing accessible services for a long time. The most well-known examples of these are Osuuspankki's OP Saavutettava online bank service and Palvelukartta, the Helsinki Metropolitan Area Service Map. The accessibility law, which came into force in 2019 on the basis of the EU Directive, requires the websites and mobile applications of public sector bodies to be","nodeType":"text"},{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{"uri":"https://www.w3.org/WAI/standards-guidelines/wcag/"},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"WCAG","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" 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Joint Futures 2019","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"UDsIFSF3BAiV4KHrd0Hel7","type":"Asset","createdAt":"2020-11-27T17:02:23.673Z","updatedAt":"2020-11-27T17:02:23.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"insta_2600x1300.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/UDsIFSF3BAiV4KHrd0Hel7/0e2b9e4bb2a84792704f63a6159dc69f/insta_2600x1300.jpg","details":{"size":179752,"image":{"width":2600,"height":1301}},"fileName":"insta_2600x1300.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"​The craft of (product) design has never been as complex as in 2019. Staying ahead of the curve has never been more vital, and the industry seems to be just as excited as I am for what will unfold at Joint Futures.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"A 2-day conference dedicated to Design, organized by Elisa and supported by InVision and Rosenfeld, will take place on the 3rd of September 2019 in Helsinki, Finland. Joint Futures is the de facto event for industry news, trends, intelligence and buzzwords related to Design, Design Systems, Pattern Libraries and Style Guides. Previously named DS Conf, the primary aim of the conference was to promote how Design Systems (a.k .a. DS) can help build better products more efficiently.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, their focus has shifted slightly away from Design Systems towards a more holistic design conference. “Holistic design is understanding and solving problems in all those levels that design operates”, as Angelos Arnis, the head honcho behind the conference states in his recent ","nodeType":"text"},{"data":{"uri":"https://medium.com/joint-futures/towards-a-holistic-design-approach-122dcf4d02c0"},"content":[{"data":{},"marks":[],"value":"Medium article","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". It is healthy that we keep the conversation going on topics such as establishing the value of Design. But for me there is an even better reason I enjoy attending conferences.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I’ve prepared a short list of 5 reasons I’m going and what I’m looking forward to at this year's conference:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Professional Growth and Networking","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Understanding both the local and overseas designer landscape is one of the most efficient ways to propel one’s design career forward. 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For that, I first need to know where I stand. Putting myself through similar objective analysis I apply to my client’s design problems helps me focus my efforts where they are needed. It also gives me a clue on how to position myself as a designer or how to evolve the brand for ","nodeType":"text"},{"data":{"uri":"http://nitor.com/"},"content":[{"data":{},"marks":[{"type":"bold"}],"value":"Nitor","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" or one of my side projects.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"My journey to Design Systems","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"For the past 15 years, I’ve focussed on what I believe to be my core skills, from digital branding to user experience and interfaces. Like many other designers, I started by designing logos, letterheads and prepared corporate guidelines for print. 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Being the talk of the industry, there are already many events and conferences aimed at designers and developers that are solely dedicated to Design Systems. 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They feature an amazing 28 speakers, 2 tracks, 3 themes and 4 keynotes and have partnered up with Rosenfeld Media to bring 4 optional workshops. Ultra-high expectations are justified with hosts like ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Jina Anne","nodeType":"text"},{"data":{},"marks":[],"value":"and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Dave Malouf","nodeType":"text"},{"data":{},"marks":[],"value":", speakers like ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Kim Goodwin","nodeType":"text"},{"data":{},"marks":[],"value":", ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Tatiana Mac","nodeType":"text"},{"data":{},"marks":[],"value":" and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Janice M. Cho","nodeType":"text"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"OA2qwR1qlyjSAdYJhjBKO7","type":"Asset","createdAt":"2020-11-27T17:00:49.524Z","updatedAt":"2020-12-08T11:36:50.478Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"got components","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/OA2qwR1qlyjSAdYJhjBKO7/dfc8cdb62fbb7e9f7b1a2c8ced6b8c38/1_sxXeCBgfqiabLp30EbcGJA.gif","details":{"size":137468,"image":{"width":430,"height":304}},"fileName":"1*sxXeCBgfqiabLp30EbcGJA.gif","contentType":"image/gif"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Product (and industry) maturity check","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"I’m excited to hear how others have solved team related, cultural or organizational challenges in their projects. How they make the client fall in love with the workflows and tools proposed? What are the business and development practicalities with getting a DS up and running? What are the pros and cons of different Design System strategies?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"It's not that difficult to make a Design System look fantastic, but to make it work for everyone is hard work. 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Some companies are rather spooked and will not invest in a system that might or might not be adopted into wider use. However, I know there’s a few DS’s in the works as I’ve taken part in making a few myself. However, I know there’s a few DS’s in the works as I’ve taken part in making a few myself. Surely there’s many I didn’t even know existed? Next week I’ll find out exactly how my fellow Finns do IT.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Mastering the craft","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Conferences are also good for picking up useful tips and best practices for (product) design at scale. It is as easy as listening to speakers talking about their own experiences and you get expert recommendations for improving speed, quality, and consistency with everything design related. 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I most likely spend too much of my non-billable hours scouring the internet and reading up on blogs for any notion of new tools that might increase productivity. Whether desktop or web-based, they encourage consistency and help me be more creative. At conferences I don’t have to scour for hours on end.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Being the total design tool nerd I am, I hope to find shiny new toys to add to my workflow. A while ago, Figma was one of these finds. I love Sketch, but when I switched to Figma, I found their approach more suitable for me. 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Al Worden was the Command module Pilot in Apollo 15 and one of the few people who have orbited the Moon.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Worden was part of the panel that included fellow Apollo veteran ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Gerry Griffin","nodeType":"text"},{"data":{},"marks":[],"value":", NASA Johnson Space Centers’ ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Lara Kearney","nodeType":"text"},{"data":{},"marks":[],"value":" and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Bobak Ferdowsi","nodeType":"text"},{"data":{},"marks":[],"value":" from the Jet Propulsion Lab. Their talk was surprisingly fun as they highlighted the more adventurous part of creativity and innovation. 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Thoughtful entertainment always comments on the current events, for example, the Chinese government’s social credit system by 2020 is straight out of Black Mirror.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We should – by default – design inclusive products","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Universal design as a term stems from architecture. It means a way of designing a building that is naturally accessible for most people as opposed to buildings that are designed for the standard able-bodied person and features, like a wheelchair ramp are special additions. Universal design can of course be applied to our software products as well.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Whatever product you’re creating some of your users will have accessibility needs. Product that is good to use for an amputee is also good for a parent holding an infant” argued ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Emma Schwartz","nodeType":"text"},{"data":{},"marks":[],"value":" at the ","nodeType":"text"},{"data":{"uri":"https://schedule.sxsw.com/2019/events/PP83761"},"content":[{"data":{},"marks":[],"value":"Design for inclusivity","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" panel.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Inclusion and accessibility were popular topics both in the Design as well as the Social and Global impact tracks. Often, it was argued from a economic perspective: while bearing more users in mind, we increase our market share. The other times from a systems-point of view: Don’t create a UI gesture just for your product - make sure it’s universal.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"8Vojrwuq2j5wn4QXl3q8C5","type":"Asset","createdAt":"2020-11-27T17:00:24.527Z","updatedAt":"2020-12-08T08:09:52.679Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Moritz Simon Geist performing at South by South-West","description":"Performance, Moritz Simon Geist, SXSW, Event","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/8Vojrwuq2j5wn4QXl3q8C5/38eb7cfdfdbe7a64743237aa3e14e00b/moritz-simon-geist.jpg","details":{"size":110347,"image":{"width":1600,"height":900}},"fileName":"moritz-simon-geist.jpg","contentType":"image/jpeg"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Moritz Simon Geist performing at SXSW.","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Don’t just study your field, learn universally","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"As the saying goes: “Copying from one is plagiarism. Copying from a hundred is research.” More passions can make you a more empathic designer. At some point we seem to forget this: children don’t think in different disciplines but adults often feel stuck in their domain.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"This got me seemingly so worked up that one evening, when riding home in an Uber I started discussing the idea with the driver. He told me he’d given up playing the piano (which he used to do professionally) and started taking pilot classes. I yelped “No! You have to do both: we don’t have enough piano-playing pilots and that is what makes you special.”","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"A modern professional doesn’t have to heed to one discipline or even profession in their lifetime. Continuous learning will help you create better, more universal products. 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In this post, we draw together some ideas presented across the talks about the changing role of design in the Age of Data.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Data-driven decision-making is great because it helps us remove bias. Instead of listening to the ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=1h8m58s"},"content":[{"data":{},"marks":[],"value":"Highest Paid Person’s Opinion","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", data-driven decision-making is based on what the users are ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=6h16m14s"},"content":[{"data":{},"marks":[],"value":"actually doing","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" and exposes the product or service to the cold reality of data. 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Powerful AI solutions can then use that data to automatically generate variations of interfaces, optimize inventories, balance server load and so much more. When a genetic algorithm can independently explore and test hundreds of alternative and choose the ones that are proven to work, who needs a designer anymore?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Clearly data helps us optimize our systems based on their results,\n\nbut how do you know what to optimize for?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"blockquote"},{"data":{},"content":[{"data":{},"marks":[],"value":"This is where design and data meet in an interesting way. Right now, any designer can already start using data to create smart defaults, determine ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=3h32m49s"},"content":[{"data":{},"marks":[],"value":"what kinds of features are worth building","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":", and ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=5h45m20s"},"content":[{"data":{},"marks":[],"value":"track the actual journeys our customers are taking","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". As the level of automation increases, the designer’s role becomes that of a gardener: What is ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=1h38m54s"},"content":[{"data":{},"marks":[],"value":"the customer experience you want to optimize for","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"? What is the tone this AI assistant should ","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=5h8m57s"},"content":[{"data":{},"marks":[],"value":"deliver news we can’t imagine yet","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":"?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"https://youtu.be/5nll1K1YHdQ?t=2h54m49s"},"content":[{"data":{},"marks":[],"value":"Zalando","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" presented a really useful model for understanding the relationship between data, intelligence and experience. Let’s say you’re building a smart service that helps grocery shoppers discover suitable recipes and gather them at their local grocery store. As the customer walks out of the store with flour, milk, sugar and eggs, ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"data","nodeType":"text"},{"data":{},"marks":[],"value":" is being generated. Based on the ingredients and the customer’s history, a solution’s ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"intelligence","nodeType":"text"},{"data":{},"marks":[],"value":" layer can draw a conclusion that this person is baking a cake. But the AI can’t understand the ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"experience","nodeType":"text"},{"data":{},"marks":[],"value":" of baking a cake with your friends, which is the reason the customer went to the store in the first place. Experience defines the purpose of the solution that is enabled by intelligence and built on a foundation of data.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4CvIw3Wfvw8BeOE4ihxVu","type":"Asset","createdAt":"2020-11-27T16:55:27.432Z","updatedAt":"2020-11-27T16:55:27.432Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"kolmio.png","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/4CvIw3Wfvw8BeOE4ihxVu/0841d0bb8da57eed5782cf9b47f3ce32/kolmio.png","details":{"size":54888,"image":{"width":1466,"height":708}},"fileName":"kolmio.png","contentType":"image/png"}}}},"content":[],"nodeType":"embedded-asset-block"},{"data":{},"content":[{"data":{},"marks":[],"value":"We here at Nitor know that digital engineers, data scientists and designers have to collaborate seamlessly to create value. Customer experience should drive the design of solutions to make sure they will deliver value to the customers, and solutions should be developed with the intended customer experience in mind to make sure the experience is actually delivered. Cross-functional teams combining design, implementation, data science and business are the way to create experience-driven, AI-based, data-enabled digital services.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"And if we go all the way with automation and can seamlessly deliver thousands of variations to millions of users every second, where does that leave the designers of today?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Let’s take another example. What if an amusement park would build an intelligent solution that optimizes the customer experience: how to organize eating and shopping, how to manage queues, what information to show where? There is an abundance of data – the number of visits per season, what services were used and in what order, how long was customer at the park, and so on. And if the data is accurate, we can create intelligent solutions that take the data, make conclusions, adapt and measure against key performance indicators. But all that will still leave the final question of deciding what and how we want to optimize.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"How would ","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":"you","nodeType":"text"},{"data":{},"marks":[],"value":" define the KPI for joy?","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"4EYHnV3vEcwjo0Df5QE1VP","type":"Entry","createdAt":"2020-10-28T20:42:03.147Z","updatedAt":"2020-10-28T20:42:03.147Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Design","slug":"design"}}],"slug":"data-has-killed-designer-or-has-it","publishDate":"2018-09-19","showRelatedArticles":true}}]}}],"metaDescription":"Design services for the people and businesses who use them, both now and in the future. 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The requirements include demonstrating superior knowledge, competency, and in-depth field experience in adopting Agile across an enterprise with the Scaled Agile Framework.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Rami has also been instrumental in creating the SAFe ","nodeType":"text"},{"data":{"uri":"https://www.scaledagileframework.com/lean-budgets/"},"content":[{"data":{},"marks":[],"value":"Lean Budgets","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":" budgeting model.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor was the first company in Finland to provide ","nodeType":"text"},{"data":{"uri":"https://www.nitor.com/en/training"},"content":[{"data":{},"marks":[],"value":"SAFe training","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":". Up to this day, we have arranged 220 courses and trained over 3,500 people in 13 countries.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We believe that SAFe is the most effective way to be agile at the moment. The latest State of Agile Report by Version One states that SAFe is the most widely-used approach to scaling agile, as 29% of the respondents say that it’s the method they follow most closely.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"},{"data":{"uri":"http://www.scaledagile.com/spct-certification/"},"content":[{"data":{},"marks":[],"value":"More information on SPCT certification","nodeType":"text"}],"nodeType":"hyperlink"},{"data":{},"marks":[],"value":".","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6ibUTJBrlcSrTM4JftTnPF","type":"Entry","createdAt":"2020-09-29T20:55:45.997Z","updatedAt":"2020-10-28T20:50:57.948Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Agile","slug":"agile"}}],"slug":"nitors-rami-sirkia-becomes-certified-safe-4-program-consultant-trainer","publishDate":"2018-05-29","showRelatedArticles":true}}]}}],"metaDescription":"Launch an agile revolution. 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Our experts will help you quickly find the critical data giving the most relevant insights for your business. We can swiftly – and without expensive technology investments – demonstrate the benefits of using data. It’s easy to design a process serving the entire organisation when everyone understands the expected benefits.\n","marks":[],"data":{}}],"data":{}}]},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"XkZNvtCdVPmEhFTBWTi5I","type":"Entry","createdAt":"2020-12-17T12:29:46.763Z","updatedAt":"2020-12-17T12:29:46.763Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"en-US"},"fields":{"name":"How to create business value from data","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5fnCtE1n3J6l3hrfcIwKb6","type":"Entry","createdAt":"2020-11-11T06:51:22.374Z","updatedAt":"2020-12-21T08:24:48.500Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":7,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Business optimisation","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Successful businesses predict future possibilities and act on them quickly. Strategies that can turn opportunities into actions form the basis of sustainable digital development. However, you would be wrong to think brilliant algorithms are at the core of all data-driven operations. Real success is rooted in the ability to simplify key questions and present them as mathematical models. We can help you formulate the right abstraction for the right question – and deliver the answers your business has been looking for. ","marks":[],"data":{}}],"data":{}}]},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6CWb2esZsQNFH1dItGAv2l","type":"Entry","createdAt":"2020-12-09T07:10:27.084Z","updatedAt":"2020-12-09T14:43:42.884Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"en-US"},"fields":{"name":"Read how we improved customer experience with data science","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"providing-business-value-data-science-finnair-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"60V2KyzLyECDfQbUZjN0wl","type":"Entry","createdAt":"2020-11-11T06:52:15.070Z","updatedAt":"2020-12-21T08:25:16.135Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":8,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Machine learning and artificial intelligence","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Machine learning and artificial intelligence can solve classification problems and detect patterns in large volumes of data efficiently. We use them for risk assessment and customer profiling, among other things. We can help you efficiently map out applications for artificial intelligence and turn models into finished products.","marks":[],"data":{}}],"data":{}}]},"references":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1ueCpzpX0l4egaRjz1NbuR","type":"Entry","createdAt":"2020-12-09T07:14:51.015Z","updatedAt":"2020-12-09T14:43:06.744Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"namedReference"}},"locale":"en-US"},"fields":{"name":"Nitor invests in Artificial Intelligence","entry":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"​Nitor invests in Artificial Intelligence","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor has founded a new business focused on Artificial Intelligence. Nitor Insight will offer research and consulting services on data science, AI, and machine learning. Nitor Insight started its operations in early 2018 and will be developed into a significant part of Nitor’s services and business.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor Insight’s launch has been prepared by Nitor’s Data Scientists ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" , ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":", and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" as well as Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":".","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“We are extremely excited about launching Nitor Insight. AI and machine learning are an essential part of sustainable digital development. By broadening our offering, we can produce even better services for our current customers as well as target entirely new business areas,” ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":", Nitor’s CEO, explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"AI, machine learning, and data science have become increasingly popular within the past few years and continue to be hot topics. Advanced technologies, increasing amounts of data, and the development of platforms such as Amazon, Google, and Microsoft, make the solutions an even bigger part of everyday life.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Our customers handle large amounts of data, and machine learning is a way to create value out of this data. We have utilized machine learning throughout the years in making prognoses and recommendations within, for example, the media, finance, retail, logistics, and transportation industries. Lately, we have especially worked with different kinds of customer-service chatbots and other speech-related services,” Otto Manninen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Even though there is plenty of hype around AI, practicality and creating real value is a priority at Nitor Insight. Machine learning enables automation of solutions that wouldn’t have been sensible with traditional methods. People can focus on solving more important problems, aided by machines.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The benefits are obvious: machine learning is now mature enough that it can be used in business-critical systems. Consumers are also increasingly starting to demand intelligent functions from all the services they use. And these are now often based on machine learning,” Tuomas Ritola explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In addition to automating routine actions as well as supplementing current digital services, AI and machine learning offer many interesting new possibilities. Ideas move quickly from the academic world into productization and commercialization.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The development of speech recognition and natural language processing has created opportunities for new kinds of chat-based services. The AI platforms and personal assistants from the big service providers will slowly change people’s habits and expectations of how to transact with businesses,” Juha Syrjälä says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“I would estimate that the next big discussion topic after deep learning will be Generative Adversarial (Neural) Networks or GANs. These neural networks enable AI to learn how to create realistic photographs and other visualizations. It will be also interesting to see when Neural Processing Unit or NPU-accelerated devices become common and alter the current computation ecosystems,” Sami Airaksinen adds.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With Nitor Insight, AI, machine learning, and data science are now a significant part of Nitor’s services. They are a part of Nitor’s sustainable digital development that already includes pragmatic architecture, design, large-scale agility, and technology services.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"nitor-invests-artificial-intelligence","publishDate":"2018-06-13"}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6IMKZh2y8erek8LfALQz3P","type":"Entry","createdAt":"2020-11-11T06:53:12.936Z","updatedAt":"2020-12-21T08:25:47.769Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":6,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"expertiseBlock"}},"locale":"en-US"},"fields":{"title":"Data storage and management","paragraph":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Proper storage and management of data enables the seamless development and elegant utilisation of analytics, data management and other data-based services. Our cost-effective solutions are always guided by the principles of information security, reliability and the ability to scale to meet your organisation’s needs.","marks":[],"data":{}}],"data":{}}]}}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2zNC67HdO7loGBkCFSLTgk","type":"Entry","createdAt":"2020-12-09T07:33:49.356Z","updatedAt":"2020-12-14T14:32:40.852Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"contactBlock"}},"locale":"en-US"},"fields":{"title":"Contact us","additionalInfo":["phone number","email"],"people":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}]}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"1zz3jysm45N7BDTO2fAzhZ","type":"Entry","createdAt":"2020-12-17T16:36:01.798Z","updatedAt":"2020-12-17T16:36:01.798Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"highlight"}},"locale":"en-US"},"fields":{"name":"Analytics articles highlight","title":"Read more","articles":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"42YMVYO76Jx4qNct4V86V1","type":"Entry","createdAt":"2020-11-27T17:30:46.555Z","updatedAt":"2020-12-09T08:54:30.831Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"Providing Business Value with Data Science at Finnair: The Five-Step Model","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"VYijgbOjloAoQfD3OWxgL","type":"Asset","createdAt":"2020-11-27T15:39:00.761Z","updatedAt":"2020-11-27T16:26:38.909Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"FIN_Airbus_A330_high_Resolution_jpg_79.jpg","description":"Photo: Finnair, 3D Aviation / Ole Wind Andersen","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/VYijgbOjloAoQfD3OWxgL/db6912fc523018fbebccb72a8531f55d/FIN_Airbus_A330_high_Resolution_jpg_79.jpg","details":{"size":926226,"image":{"width":1985,"height":1197}},"fileName":"FIN Airbus A330 high Resolution jpg_79.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We had the opportunity of improving Finnair's Operational Analytics efforts with Data Science. In this blog post, we'll walk you through the five key steps we took to ensure the best possible outcome.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Airline operations are complex. Keeping flights in schedule, rerouting passengers who missed their connections, and in general, reacting to unexpected events are just some problems Operations Controllers must deal with, while considering factors such as weather conditions, travel restrictions, and crew availability. In managing operations, airlines make numerous decisions every day, the outcomes of which may depend on each other and which can have ripple effects on many flights. For example, delaying a flight to wait for connecting passengers may cause the aircraft to arrive late on its return flight, possibly leading to other passengers missing their connecting flights.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Such effects depend on many factors, such as the passenger makeup of all affected flights, which makes it difficult to weigh their importance in decision making. Consequently, coarse, heuristic models have traditionally been applied, which can simplify the problem but also suffer from biases, leading to suboptimal decisions. In today's competitive market, in order for airlines to provide the best quality of service, it's increasingly important to take full advantage of their data assets in operational decision making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Recently, we had an opportunity to do Data Science work with Finnair, focusing on their Operational Analytics efforts. Our work resulted in mathematical models and software tools, the use of which significantly improved customer experience, improved workflows in the Operations Control Center, and resulted in remarkable cost savings. In this blog post, we describe the five main steps that contributed to the success of our journey with Finnair.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"1. Identifying the Problem","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Working at an airline of Finnair's scale is, for a Data Scientist, like a dream come true: the data is plentiful and well organized, and there are seemingly endless optimization problems to solve. Of course, as for any mature industry, many of the fundamental problems are already solved. Thus, when we started our work, the first questions were: what problems we can solve, and what problems should we solve utilizing the customer's data assets to create as much value as possible, in terms of both financial and customer success.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting a project, our goal as consultants is to understand the challenges the customer is facing. Thus, it's natural to begin by workshopping with the customer's domain experts. In this phase, focus is the key: real-life situations always consist of many interacting variables, and the amount of details can be daunting. Filtering out irrelevant characteristics of the problem and striving to simplify a possible solution will pay off in the form of better results, faster.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When we entered Finnair, a high-level list of important business problems had already been collected in internal workshops. Together, we prioritized this list and considered potential solutions in more detail. We quickly identified that the most useful starting point would be a mathematical model of the passengers' journeys end-to-end, to replace less accurate, higher-level indicators that were used previously. This would allow us to paint a clearer picture of upcoming and ongoing flights, leading to easier and more informed decision-making.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"2. Getting the First Version Out","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After choosing the first problem to tackle, we set out to build a Minimum Viable Product (MVP). In software, an MVP is an application with as few features as possible to satisfy users.The goal is that after release, new features will be added in response to feedback from users. By contrast, in a Data Science product, an MVP can also involve including simplifying assumptions in a model. The idea is that it's easier to engage stakeholders in a feedback loop when they can interact with the results and validate them against their own domain knowledge. The model can then be made more complex in response to feedback, if it turns out to be inadequate.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"When starting to work on the MVP, a lot of subtle technical and data-related aspects need to be clarified with the customer. Typical questions addressed in this phase include, for instance, what are the right data sources to be used when solving the problem, and how the varying data sources need to be combined, cleaned and pre-processed for further modeling efforts. Diving into the data, formulating and validating assumptions of the models, and fleshing out initial solution designs makes it clear if the planned approach will work. From the customer’s point of view, this phase validates that the link between domain knowledge and the data is correctly interpreted and verifies that results produced by the model seem reasonable. Often, this phase also produces secondary business value as it can, for example, reveal deficiencies in data quality and clarify some aspects of existing business processes.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our work with Finnair, there was a great deal of domain knowledge to digest in the first few weeks in particular. Luckily, we were able to work closely together with their helpful and extremely knowledgeable staff, and we managed to have an MVP, a Python application periodically running the model and an R Shiny visualization, running in two months.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"3. Gathering Feedback and Iterative Development of the Model","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the MVP was running, we started gathering feedback from the customer domain experts and stakeholders. From this feedback, it became clear where further development efforts should be concentrated.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Some key insights from this process were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"For users to be engaged and provide feedback, the user experience needs to be smooth, and there needs to be a clear feedback channel.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"In order for expert users to trust a model, they need transparency over what goes in and what comes out.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"While iterative development continues after this initial MVP stage, the initial iteration is crucial as it improves the application holistically and makes it more robust for the next phase. For instance, with Finnair, the iterative development led into leaving out some irrelevant features in the user interfaces of the applications while at the same time including other features that were initially not seen important. End users also spotted several exceptional cases that were not handled correctly by the initial models, which led to improving them further.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"4. Evolution into a “Production-Ready” Application","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"After the application was iterated on and validated through initial feedback, it started to be ready for wider adoption. By following good software design practices from the beginning, transitioning from the MVP into a production application was seamless. To achieve this, some key points we followed were:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Portability: in Python, for example, using virtual environments or containers ensures that the code works when deployed in different environments (e.g. moving from development to staging).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Maintainability: writing modular code makes it easy to make modifications and switch out dependencies when required; following best practices of software version control helps keep track of changes and is useful in debugging.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Performance: in data-intensive applications, designing code to be performant from the start helps keep the development feedback loop fast. In near-real-time applications like ours, it is also crucial to ensure that adding complexity to models doesn't degrade performance significantly. Luckily, Data Science-oriented software libraries like Pandas are written with performance in mind, so it's often enough to follow best practices.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Customer's needs: it is important to select tools that the customer is invested in; common reporting tools for results, and programming languages that are commonly used in the organization (e.g., with Finnair, it was deemed better to transition to a reporting tool widely used in the organization for presenting results instead of the initial custom tools developed).","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Monitoring and security have to be considered thoroughly.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"unordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"In our project, we were in the \"production ready\" stage in about five months, which is when it was introduced to a larger group of users. At this stage, we dropped the custom dashboard built in the MVP, and delivered results in Finnair's internal Business Intelligence environment; this had two main benefits:","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"it was already familiar to the users, so adoption was frictionless, and ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"},{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"managing user access became trivial. ","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"list-item"}],"nodeType":"ordered-list"},{"data":{},"content":[{"data":{},"marks":[],"value":"All in all, the transition to a wider user base was surprisingly smooth, although the amount of feedback naturally increased remarkably. Thus, we introduced some custom forms for collecting and storing feedback, which significantly improved the feedback loop.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"5. A Suite of Further Applications","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"At this point, we had a mathematical model of the core business. While still being iteratively developed, it was mature enough to yield more accurate insight than previous solutions. Having selected the initial problem carefully, we knew that the core model created opportunities for a suite of other tools and optimization processes to further improve the efficiency of business operations. Thus, together with Finnair, we planned several new MVPs that would build on this model. There were two motivations for moving forward with multiple applications: on the one hand, we wanted to quickly create more value where it was possible; and on the other hand, we wanted to lay out clarified directions for Finnair’s operational analytics by exploring the application space and validating our ideas.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The suite of applications developed was adopted to daily operational use smoothly, which was supported by training sessions for the end users as well as an on-going gathering of feedback. Sharing information about the tools for the organization and quickly incorporating improvement suggestions to the models enabled the inclusion of key people in the development efforts and fast extraction of value from the tools. This resulted in increased customer satisfaction as well as significant cost savings at Finnair. In conclusion, the five-step data science process described in this blog post has proven to be a valuable guideline as Finnair’s operational analytics area continues to evolve.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"authors":[],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"providing-business-value-data-science-finnair-five-step-model","publishDate":"2020-11-23","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"tkwqWR8RXJGlzjfyYWaDo4","type":"Entry","createdAt":"2020-12-08T14:29:54.239Z","updatedAt":"2020-12-08T14:29:54.239Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"​Nitor invests in Artificial Intelligence","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"yIT7UV7fRq2t77qvxdrTY1","type":"Asset","createdAt":"2020-11-27T16:54:46.801Z","updatedAt":"2020-11-27T16:54:46.801Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"nitor-insight-2018-05.jpg","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/yIT7UV7fRq2t77qvxdrTY1/419f76a258461d9f1de097224763773e/nitor-insight-2018-05.jpg","details":{"size":361936,"image":{"width":2280,"height":1282}},"fileName":"nitor-insight-2018-05.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor has founded a new business focused on Artificial Intelligence. Nitor Insight will offer research and consulting services on data science, AI, and machine learning. Nitor Insight started its operations in early 2018 and will be developed into a significant part of Nitor’s services and business.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[{"type":"italic"}],"value":"Nitor Insight’s launch has been prepared by Nitor’s Data Scientists ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Sami Airaksinen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" , ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Tuomas Ritola","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":", and ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Juha Syrjälä","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":" as well as Principal Consultant ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"},{"type":"italic"}],"value":"Otto Manninen","nodeType":"text"},{"data":{},"marks":[{"type":"italic"}],"value":".","nodeType":"text"},{"data":{},"marks":[],"value":"\n","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“We are extremely excited about launching Nitor Insight. AI and machine learning are an essential part of sustainable digital development. By broadening our offering, we can produce even better services for our current customers as well as target entirely new business areas,” ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Matti Vilmi","nodeType":"text"},{"data":{},"marks":[],"value":", Nitor’s CEO, explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"AI, machine learning, and data science have become increasingly popular within the past few years and continue to be hot topics. Advanced technologies, increasing amounts of data, and the development of platforms such as Amazon, Google, and Microsoft, make the solutions an even bigger part of everyday life.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“Our customers handle large amounts of data, and machine learning is a way to create value out of this data. We have utilized machine learning throughout the years in making prognoses and recommendations within, for example, the media, finance, retail, logistics, and transportation industries. Lately, we have especially worked with different kinds of customer-service chatbots and other speech-related services,” Otto Manninen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Even though there is plenty of hype around AI, practicality and creating real value is a priority at Nitor Insight. Machine learning enables automation of solutions that wouldn’t have been sensible with traditional methods. People can focus on solving more important problems, aided by machines.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The benefits are obvious: machine learning is now mature enough that it can be used in business-critical systems. Consumers are also increasingly starting to demand intelligent functions from all the services they use. And these are now often based on machine learning,” Tuomas Ritola explains.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"In addition to automating routine actions as well as supplementing current digital services, AI and machine learning offer many interesting new possibilities. Ideas move quickly from the academic world into productization and commercialization.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“The development of speech recognition and natural language processing has created opportunities for new kinds of chat-based services. The AI platforms and personal assistants from the big service providers will slowly change people’s habits and expectations of how to transact with businesses,” Juha Syrjälä says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“I would estimate that the next big discussion topic after deep learning will be Generative Adversarial (Neural) Networks or GANs. These neural networks enable AI to learn how to create realistic photographs and other visualizations. It will be also interesting to see when Neural Processing Unit or NPU-accelerated devices become common and alter the current computation ecosystems,” Sami Airaksinen adds.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With Nitor Insight, AI, machine learning, and data science are now a significant part of Nitor’s services. 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But what builds business resilience? To put it simply, quick reflexes and customer-focused innovation. We can help you forge the path to resilience with an adaptive digital strategy that anticipates changes in the business environment and your customer's needs. You'll learn to develop flexible structures, identify opportunities and lead the path to change. 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How can you develop your business, when an increasing amount of uncontrollable change factors are affecting customer behaviour, expectations and even the chances of accessing the services offered?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We are still weary after the onslaught of COVID-19 last spring, but positive expectations help us all move on. However, few organisations can afford to rely on glorious expectations alone. The past months have revealed how vulnerable, but also how agile companies are in terms of change. But most of all, the experience has taught us what it is we need to do right now in order to be successful in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I have discussed with several business executives over the past weeks and followed general financial news, and I think it’s safe to say that many business fundamentals are in disarray. It is not just the service channels and production lines that have undergone transformation: customer choices, business models and their implementation have changed as well. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Business models, decision-making, talent flexibility and operational agility have been put to the test in many business sectors. As many restaurants had to close their doors, employees were transferred to grocery stores to support their online shopping and delivery service capacity. ABC service stations started delivering pre-ordered meals safely and easily straight to cars. The design and production processes of display furnishers were tuned to the production of plexiglass shields for the checkout counters of take away restaurants and retail stores. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The ability to innovate, experiment and quickly implement has saved many companies from dire straits.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Look ahead","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the midst of the pandemic we go from one phase to another and try to predict the next ones. We identify and assess different measures that we can adopt in order to prepare for the next phases and to overcome them. After the initial shock, a growing number of companies are getting prepared for the post-pandemic world. It will come, and although it might be difficult to see during the acute crisis, the seeds for future growth are sown in the midst of the present crisis. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Consequently, I would like to encourage leaders to cast their eyes over the crisis and to engage their organisations to do so as well. While managers are doing their best to minimise the current financial and personal losses, it is essential that they also take time for devising visions and plans for the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tolerate uncertainty","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"While the past months have taught us a lesson or two, we still cannot foretell the future. But we are certainly better equipped to prepare for it. A growing number of companies are developing and implementing tools for understanding and predicting future customer needs and factors that drive change in their operating environment.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Scenarios are modeled and evaluated on the basis of data, customer insight, business risks and opportunities. By selecting the appropriate scenario, companies can direct their future business while finding their balance in the current storm. But you should not waste too much time on selecting the right scenario. If you wait for the fog to subside before you make your pick, you have already lost.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Develop talents","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"A successful leader dares to break normative leadership structures. The ability to focus needs to be coupled with the ability to be sensitive to the buzz surrounding our operating environment; it is important to recognise and evaluate the flickering signals. Our tendency to rely on what we know and trust has been put to question. We no longer draw strength from past success and the lessons learnt. 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It is also possible to utilise","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. 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","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  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How can you develop your business, when an increasing amount of uncontrollable change factors are affecting customer behaviour, expectations and even the chances of accessing the services offered?","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"We are still weary after the onslaught of COVID-19 last spring, but positive expectations help us all move on. However, few organisations can afford to rely on glorious expectations alone. The past months have revealed how vulnerable, but also how agile companies are in terms of change. But most of all, the experience has taught us what it is we need to do right now in order to be successful in the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"I have discussed with several business executives over the past weeks and followed general financial news, and I think it’s safe to say that many business fundamentals are in disarray. It is not just the service channels and production lines that have undergone transformation: customer choices, business models and their implementation have changed as well. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Business models, decision-making, talent flexibility and operational agility have been put to the test in many business sectors. As many restaurants had to close their doors, employees were transferred to grocery stores to support their online shopping and delivery service capacity. ABC service stations started delivering pre-ordered meals safely and easily straight to cars. The design and production processes of display furnishers were tuned to the production of plexiglass shields for the checkout counters of take away restaurants and retail stores. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The ability to innovate, experiment and quickly implement has saved many companies from dire straits.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Look ahead","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the midst of the pandemic we go from one phase to another and try to predict the next ones. We identify and assess different measures that we can adopt in order to prepare for the next phases and to overcome them. After the initial shock, a growing number of companies are getting prepared for the post-pandemic world. It will come, and although it might be difficult to see during the acute crisis, the seeds for future growth are sown in the midst of the present crisis. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Consequently, I would like to encourage leaders to cast their eyes over the crisis and to engage their organisations to do so as well. While managers are doing their best to minimise the current financial and personal losses, it is essential that they also take time for devising visions and plans for the future.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Tolerate uncertainty","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"While the past months have taught us a lesson or two, we still cannot foretell the future. But we are certainly better equipped to prepare for it. A growing number of companies are developing and implementing tools for understanding and predicting future customer needs and factors that drive change in their operating environment.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Scenarios are modeled and evaluated on the basis of data, customer insight, business risks and opportunities. By selecting the appropriate scenario, companies can direct their future business while finding their balance in the current storm. But you should not waste too much time on selecting the right scenario. If you wait for the fog to subside before you make your pick, you have already lost.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Develop talents","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"A successful leader dares to break normative leadership structures. The ability to focus needs to be coupled with the ability to be sensitive to the buzz surrounding our operating environment; it is important to recognise and evaluate the flickering signals. Our tendency to rely on what we know and trust has been put to question. We no longer draw strength from past success and the lessons learnt. We are refiguring our business position in uncertainty — and striving towards a goal that is likely to shift.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"An exploring, pivoting culture will be an integral part of the new normal — not just in service design and production, but also in leadership and strategy work. Fortunately, it is possible to develop both managerial and organisational resilience. It is also possible to utilise","nodeType":"text"},{"data":{"target":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"QEskfaQufwc7FyhMdGZMP","type":"Entry","createdAt":"2020-12-08T09:46:54.481Z","updatedAt":"2020-12-17T13:30:36.198Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":12,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["fi","en"],"title":"CIO - move from collecting data to utilising it","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"5NAZ0U8qKv6cSVfigvEp35","type":"Asset","createdAt":"2020-11-27T17:02:28.455Z","updatedAt":"2020-12-08T09:44:03.496Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"locale":"en-US"},"fields":{"title":"Samuli Visuri sitting ","description":"Samuli Visuri, People","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/5NAZ0U8qKv6cSVfigvEp35/cdcaa6e505a839fe24d5a870c6a2f389/Samuli_Visuri_portrait.jpg","details":{"size":320976,"image":{"width":1792,"height":1008}},"fileName":"Samuli_Visuri_portrait.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The revolution in using data is based on the increase in computing power and open source development. The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. Unfortunately, results that really benefit the business are not created by connecting data sources into a crystal ball.   ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"However, getting started is not that complicated. The revolution in using data is based on increased computing capacity and open source development. Companies can set up a powerful computing environment in minutes, and with reasonable costs, if they are willing to use cloud services. The algorithms needed for data processing and predictive analytics are already freely available. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"The good news, then, is that the that business managers don’t have to whine about various technology choices. You don’t even need expensive licenses. All you need is an expert, who knows how to use and modify algorithms to suit your business needs. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}}},"content":[{"data":{},"marks":[],"value":" ","nodeType":"text"},{"data":{},"marks":[{"type":"underline"}],"value":"technology, data and analytics","nodeType":"text"}],"nodeType":"entry-hyperlink"},{"data":{},"marks":[],"value":" to help in anticipation, business scenario assessment and testing in increasingly agile and customer-oriented ways.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Dare to reform","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"Although the instinctive first reaction to an acute crisis is to turn inwards, overcoming it demands looking outwards. Surviving the quick turns of last spring has given us the strength, ability and tools to design and decide how to be relevant in the future. Currently we are dismantling silos and breaking locked-in value chains and ecosystems. ","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Realignment and new partnerships will invigorate many. Flexible processes and the ability to react and decide quickly enable you to produce added value for customers, whose behaviour is still guided by a growing number of change factors, some of which are hard to predict. It is time to move on and to build the new normal proactively.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Nitor helps in the management of digital transformation, in the development of agile strategies and growth, in planning sustainable architecture solutions and in renewing organisational resilience. 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The algorithms needed for data processing and predictive analytics are already freely available. Read the advice of Samuli Visuri, Nitor's analytics business director, on how to make the most of analytics.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"nodeType":"document","data":{},"content":[{"nodeType":"paragraph","content":[{"nodeType":"text","value":"With regard to artificial intelligence and machine learning, there is a common illusion a single technology, software, or algorithm would help a company boost its business. As if there would be some sort of a black box, which digests all the data and spits out an operational guideline.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Sorry to disappoint, there is no black box. There has been no new mystical breakthrough in algorithm development, and no software can standardise data processing and predicting the future. 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","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 1: Be impatient ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"In order to reap benefits from analytics, you do not need large projects spanning many years. Although it’s tempting to start by planning a big project with all the data neatly available to the entire organisation in a structured form, it is more fruitful to take a different approach. How can we quickly benefit from our data, and how can we use it to accelerate our business? Modern technology is modular and, when properly designed, also flexible.  It is easier to plan an organization-wide project, once there is an understanding of the benefits to be achieved. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 2: Tolerate disorganised data ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"One often hears we cannot do this until the data is in better order. We need precise specifications. Our data contains errors. These must be fixed first. It is, of course, useful to get the company’s data sets organised. However, this should not slow down development, as an experienced professional will be able to correct erroneous data in no time. A proficient expert can write algorithms, which for example reconcile different data entry practices and estimate missing data based on some other characteristics. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 3: Simplify and succeed ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" Business is fundamentally about predicting the future and taking action accordingly. The point of artificial intelligence and machine learning is not in the use of brilliant algorithms, but rather in the ability to simplify key business questions into mathematical models. The winner is the one who can formulate the right abstraction for the key question – in a way that it can be answered.  ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-2","content":[{"nodeType":"text","value":"Rule no. 4: Acquire expertise that will benefit you immediately ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"Almost without exception, the best option is to quickly implement a Proof-of-Concept or a smaller solution, which yields immediately measurable business benefits. This is, of course, easier said than done! However, an experienced professional is, together with business experts, able to find a suitable starting point. A consultant is not the best to advise on how to do business. But she knows the possibilities of using data and is able to harness large amounts of data in such a way it is useful in decision making and running business. ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":" ","marks":[],"data":{}}],"data":{}},{"nodeType":"heading-3","content":[{"nodeType":"text","value":"Conclusions ","marks":[],"data":{}}],"data":{}},{"nodeType":"paragraph","content":[{"nodeType":"text","value":"When it comes to buying analytics, the choice is clear. You should choose a competent data scientist who understands the customer. At Nitor, we focus on resolving the customer’s problems in a business-oriented way, with tools best suited to the task at hand instead of relying on technology-driven solutions. If you would like to know more, we’d be happy to come and start charting potential development targets and creating business value for you.  ","marks":[],"data":{}}],"data":{}}]},"authors":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6LCYDgXGe75zxb2BEb9Mp3","type":"Entry","createdAt":"2020-12-08T09:46:11.310Z","updatedAt":"2020-12-17T21:54:04.673Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":4,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"person"}},"locale":"en-US"},"fields":{"name":"Samuli Visuri","jobTitle":"Managing director, Analytics services","email":"samuli.visuri@nitor.com","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2ezVsrZfIaOggjXWq56qMy","type":"Asset","createdAt":"2020-11-27T17:22:24.531Z","updatedAt":"2020-11-27T17:22:24.531Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"Samuli Visuri profile blue cropped","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/2ezVsrZfIaOggjXWq56qMy/f6b0a87fc8bfc8e22b192c793adc1a04/Samuli_Visuri_profile_blue_cropped.jpg","details":{"size":1787811,"image":{"width":2000,"height":2000}},"fileName":"Samuli_Visuri_profile_blue_cropped.jpg","contentType":"image/jpeg"}}}}}],"tag":[{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"2dQLj8osKori0q3pY8NTmn","type":"Entry","createdAt":"2020-10-28T20:52:06.201Z","updatedAt":"2021-01-17T10:28:58.223Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":3,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"tag"}},"locale":"en-US"},"fields":{"name":"Analytics","slug":"Analytics"}}],"slug":"cio-move-from-collecting-data-to-utilising-it","publishDate":"2020-05-27","showRelatedArticles":true}},{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"uVrVvtieWJKXzDXiRrfx8","type":"Entry","createdAt":"2020-12-08T08:36:19.128Z","updatedAt":"2020-12-18T08:00:54.648Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":2,"contentType":{"sys":{"type":"Link","linkType":"ContentType","id":"article"}},"locale":"en-US"},"fields":{"lang":["en","fi"],"title":"DNA, a GPTW Winner, Set the Bar for Agile Sky High","mainImage":{"sys":{"space":{"sys":{"type":"Link","linkType":"Space","id":"w58q9wcmirx2"}},"id":"6hcWQEEC2lhQpVJ9sd6Ha","type":"Asset","createdAt":"2020-12-08T08:22:02.301Z","updatedAt":"2020-12-08T08:22:02.301Z","environment":{"sys":{"id":"master","type":"Link","linkType":"Environment"}},"revision":1,"locale":"en-US"},"fields":{"title":"DNA headquarter","description":"Outside teleoperator DNA's headquarter, company flags","file":{"url":"//images.ctfassets.net/w58q9wcmirx2/6hcWQEEC2lhQpVJ9sd6Ha/12266d1101d728f0dd8c1d071b7a00ad/Blogi_dna_ketteryydentila_analyysi.jpg","details":{"size":923137,"image":{"width":2400,"height":1350}},"fileName":"Blogi_dna_ketteryydentila_analyysi.jpg","contentType":"image/jpeg"}}},"lead":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"The Finnish mobile network operator DNA has done a fantastic job over the years in making its IT functions more agile. The agile development methodologies fit in well with DNA’s bold and experimentative culture.","nodeType":"text"}],"nodeType":"paragraph"}],"nodeType":"document"},"text":{"data":{},"content":[{"data":{},"content":[{"data":{},"marks":[],"value":"DNA had already discovered the benefits of agile methodologies through faster and smoother development, but they also noticed that it’s nowhere near enough to stop the agile transformation at the product development level. The best possible results are achieved when agility is adopted by the entire organization – including top management.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"To find out how to fully utilize the benefits of agile, DNA’s HR Director ","nodeType":"text"},{"data":{},"marks":[{"type":"bold"}],"value":"Marko Rissanen","nodeType":"text"},{"data":{},"marks":[],"value":" asked us to check the status of agility in their organization with the help of our Current state analysis.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"“When the development needs were brought into the open, it helped DNA to take the next step towards bringing agile forward, with a strong mandate from the management,” Rissanen says.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"What does the current state analysis entail? ","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"In the Current state analysis, we sink our teeth into topics such as structures around decision-making, the flow of information, optimization, teamwork, learning, and customer orientation. The analysis aims to map out the broad agility status as well as the future possibilities of an organization to support enterprise agility.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Finding out the status of agility in product or service development isn’t the only goal. We also aim at including different operations throughout the organization as widely as possible.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"Who can benefit from the current\nstate analysis?","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"We have executed the analysis, for example, in a big organization in the catering industry. What we noticed was that the traditional project-based way to operate is way too stiff for fast-paced changes such as food trends. This demonstrated nicely that the ingrained concepts in the restaurant business can also be challenged with the help of agile analysis.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"We can confidently say that the Current state analysis suits organizations which already utilize agile methodologies as well as those who are still considering to introduce agile transformation into their everyday way of working.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The results of the analysis are refined together","nodeType":"text"}],"nodeType":"heading-2"},{"data":{},"content":[{"data":{},"marks":[],"value":"The results of the analysis are processed together with the staff and management in order to get everyone on board right from the start. When the results are formulated as concrete actions and next steps, it also helps to create a common vision of agile. This plays a big part in launching the change at an organizational level right away.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"With the State of Agile analysis, the organization is able to receive an unbiased outsider view on its status. Our strong background in research and vast experience in agile transformation allows us to see under the surface – and dive into the root causes that aren’t always visible in the day-to-day operations. This is how we make sure that the development targets are correctly selected instead of risking focusing on more shallow goals, that would need more profound attention in the long run.","nodeType":"text"}],"nodeType":"paragraph"},{"data":{},"content":[{"data":{},"marks":[],"value":"The analysis is always performed by two coaches to ensure the best possible quality. 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