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      "body": "### A Visual Canvas for Data-Driven Ideation Workshops\n\n<p>In the last post, I wrote about what Data Thinking in my opinion is. While working on the the theory, I developed a visual collaboration tool — the Data Innovation Board. In the following paragraphs I am going to present the individual building blocks and the basic functionality of the canvas.\n\n![1*JnO5ze49tHFgNhwlHH2iBw.jpeg](https://cdn.steemitimages.com/DQmYC5WsQvdXhqzWbh2PBHaJmDAuay6PcHzypQcEUXYZ7py/1*JnO5ze49tHFgNhwlHH2iBw.jpeg)\n\n### Data Innovation Board: A little bit of theory…\n\nIn the classic design thinking process, we have five distinct phases. However, there are tools like the Digital Innovation Board by Dark Horse Innovation that summarize these five phases of convergent and divergent thinking into three distinct sections. In order to reduce the initial complexity, the DIB follows the Digital Innovation Playbook [3] by Dark Horse and follows the same structue: Explore, Ideate, and Evaluate.\nIt follows lean principles [4, 5] and conceptually focuses on the iterative circle of Build, Measure, and Learn by Eric Ries. This approach is closer to what is tried to achieve with the DIB, since a new idea is supposed to be developed and tested.\n\n### Data Innovation Board — But Why?\n<p> Design Thinking is a method that facilitates user-driven innovation processes [2, 6]. However, data innovation has its own particular challenges. Bhargava and D’Ignazio [1] claimed that there is a “lack of consistent and appropriate approaches for helping novices learn to ’speak data’”.\n\nThe Data Innovation Board is a visual canvas helping teams to monitor their collaboration in terms of ideation and prototyping over a longer period of time. Hence, users of the board are able to iterate over every block and come back to it to ask whether previous assumptions are still relevant at the stage of the development. Aspects involved in the single blocks can then be changed and updated based on new insights.\n\nIn order to create a framework that can be used to sharpen a more data-oriented view on new ideas, the prerequisites the tool are the adherence and support of the main design principles. As such the tool needs to be user-centric, enable prototyping and still be suitable for several of iterations during the development period. In addition to this, the new concept of data needs to be included.\n\n### Data Innovation Board — How does it work?\nThe blocks are allocated in the three process steps: Explore, Ideate, and Evaluate. At each of the three steps, linking questions connect the three different process steps. Similar to the Business Model Canvas [30], each building block has guiding questions leading the user of the tool through the board. The DIB also follows this method when asking data related questions.\n\nIn the Explore area, the primary objective is to increase the understanding of the situation. In this section the team is supposed to apply divergent thinking. This means the user is explored as broad as possible in this step. Additionally, it is required to understand the data that exists within the organization, or more specifically, what data the organization currently owns or stores about the user, its behavior and other valuable data sources. These are described in the Existing Data blbock. The link question that leads over to the ideation period is How might we solve the user needs with the existing data we currently have?.\n\n<center>![Bildschirmfoto 2018-07-23 um 15.28.49.png](https://cdn.steemitimages.com/DQmRTVpmV3QKJ1w4xMgLwQsFgFF7rrUEaFXkozv4jt8DXum/Bildschirmfoto%202018-07-23%20um%2015.28.49.png)</center>\n\nThe question is the introduction to the brainstorming period. In the Ideate area describe the Data Idea in more detail. The team is following a convergent thought process. It summarizes the user needs that are addressed, potential risks as well as the data that is used and that still needs to be added additionally.\nAdditional data can be acquired from an external source, like e.g. open data portals or which needs to be collected in addition internally. The link questions that need an answer before users of the DIB can proceed are How might we collect the additional data? and How are we planning on implementing the prototype?.\n\n<center>![Bildschirmfoto 2018-07-23 um 15.29.15.png](https://cdn.steemitimages.com/DQmdmEUdZZ8CvZc2R64e94vpWLj5zfHsXBKvqS1zjRBNsUB/Bildschirmfoto%202018-07-23%20um%2015.29.15.png)</center>\n\nIn the third stage, the <b>Evaluate period</b>, the main objectives are to measure the success of the idea and collect the learning for later iterations. As such, Touchpoints enable the data idea. This is where the user is getting in contact with the new idea to receive the value. However, in most of the cases the idea needs traffic. Hence, channels should summarize how the collaborating team is planning on promoting the new idea and from where they want to acquire traffic. All observations about the performance, new learning about the user interaction and general experiences with the newly implemented data idea can be collected in the evaluation period. Those qualitative learning are partly using the KPIs that measure the general performance of the data idea.\n<i>The link questions at this stage, initializing the new iteration, are How might we implement the learning? and How might we iterate the data idea?.</i>\n\n<center>![Bildschirmfoto 2018-07-23 um 15.29.31.png](https://cdn.steemitimages.com/DQmTF3YV6wpwnyEQXN4B1LpxQV8Er1NCx4X7cirJRcrCvbm/Bildschirmfoto%202018-07-23%20um%2015.29.31.png)</center>\n\n### Want to learn more about Data Thinking?\n\nIf you are interested in learning more about the method, feel free to follow me here or on my other channels, or say hi in the comments. Moreover, I am happy to answer any questions regarding Data Thinking. Please leave a comment with your thoughts and ideas.\n\nMy series of posts is about making you think a little deeper about every day concepts. I look forward to having you follow along and reading what you throw at me. Peace!\n<center>\nWebsite: [Dlighted](https://www.dlighted.de)\nLinkedin: [D.lighted](https://www.linkedin.com/company/d.lighted)\nTwitter: [@Dlighted_de](https://twitter.com/Dlighted_de)\nInstagram: [@tizian_kronsbein](htttps://www.instagram.com/tizian_kronsbein)\nYouTube: [Dlighted](https://www.youtube.com/channel/UCyKJMMhVLTaR-syHaVI3lJw?view_as=subscriber)\n\n## References\n\n[1] Bhargava, R., and C. D’Ignazio, “Designing Tools and Activities for Data Literacy Learners”, pp. 5.\n\n[2]Brown, T., “Design Thinking”, Harvard Business Review, 2008. https://hbr.org/2008/06/design-thinking\n\n[3] Dark Horse, Digital Innovation Playbook: Das unverzichtbare Arbeitsbuch für Gründer, Macher und Manager., Murmann Publishers, Hamburg, 2016.\n\n[4]Müller, R.M., and K. Thoring, “Design Thinking vs. Lean Startup: A Comparison of two User-Driven Innovation Strategies”, Proceedings of the DMI 2012 International Research Conference: Leading Innovation through Design, Design Management Institute (2012), 151–161.\n\n[5]Ries, E., The lean startup: How today’s entrepreneurs use continuous innovation to create radically successful businesses, Crown Books, 2011.\n\n[6]Thoring, K., and R.M. Müller, “Understanding the creative mechanisms of design thinking: an evolutionary approach”, Procedings of the Second Conference on Creativity and Innovation in Design, TU Delft/IASDR (2011), 137–147.",
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      "parent_permlink": "artificialintelligence",
      "author": "tkronsbein",
      "permlink": "wtf-is-data-thinking",
      "title": "WTF is Data Thinking?",
      "body": "![dlighted_Tizian.001.jpeg](https://cdn.steemitimages.com/DQmdLddZf9jNkoQnGcqFLk1HYXLwZHMRtLH9ujn55dEgNsC/dlighted_Tizian.001.jpeg)\n# Merging Data Science and Design Thinking\n<br>\n## Data Thinking: We live in Dataconomy\nIn 2013, the TV series House of Cards launched on the streaming-service Netflix. It became an international success leading to 2 million new subscribers. Using analytics of viewers' preferences, Netflix's analysts found several trends that ensured them that users would love plot twists, particular characters, and other aspects, even before the show was produced.\nIn 2016, the Washington Post introduced Heliograf, a prototype of an AI-powered bot. It was able to create automated newspaper articles similar tothe ones written by humans. \nIn 2018, Google launched Duplex, an AI empowered voice assistant that is able to book appointments in hair salons or restaurants by using speech recognition and text-to-speech synthesis.\nAmong many others, the three examples illustrate that we were able to experience breakthroughs in many different domains in the last years. We have seen vast advancements in machine and deep learning, speech recognition, natural language processing, and image recognition. While they all facilitate a variety of different interfaces in versatile products and services, they all have something in common: they are all heavily driven by data. <br>\n![dlighted_Tizian.003.jpeg.001.jpeg](https://cdn.steemitimages.com/DQmNvcJCz35YhbkP4Rs3XDgEbJYCciRq4afvJzbv4ysKbrE/dlighted_Tizian.003.jpeg.001.jpeg)\n<br>\nWe live in a Dataconomy where data is driving everythingHence, companies need their employees to understand data-driven products and services better. Harris claims that companies need to make sure that their employees are able to read, understand and interpret data. More specifically, employees need to understand how the data strategy is evolving during the different stages of the user journey and the respective product life cycle.\nSeveral studies show that many companies are still facing data challenges to manage the digitization. McAfee et al. argue that these data challenges are related to people and how they interact with technology, including leadership, talent management, and decision-making.\n\n## Data Thinking: Start working with data. \nHowever, often it is not necessary to become sophisticated in math.\n>Data Literacy is more about the \"continuous learning journey that creates the ability to identify, understand, interpret, create, communicate, and compute pieces of information to develop knowledge and the ability to participate fully in our society\" \n\nsays Helena Sternkopf.\n<br>Similarly, getting practical with data is often more valuable than revising statistical concepts. Moreover, there is a lack of consistent and appropriate approaches for helping novices learn to 'speak data'. Most of the tools are designed to help users but are not beginner-friendly. Design Thinking is a method that facilitates user-driven innovation processes. However, data innovation has its own particular challenges.\n<br> In the last few month, I have been working on bringing these two approaches together. Hence, Data Thinking is bringing Design Thinking and Data Science together. Further, it is a holistic approach to the systematic identification of value-creating data use cases, which improve products and processes through intelligent use of data or form the basis for new, data-based business models.\nData Thinking is the symbiosis of Design Thinking and Data Science.<br>\n<center>![Figure1_StreamsOfThough.jpg](https://cdn.steemitimages.com/DQmbucEx6mSXj2FRCPzv7WujqXHvcmSKkPQjLkPuXKBsTwv/Figure1_StreamsOfThough.jpg)</center>\n<br>\nFormally, it can be defined as\n> a set of creative strategies that designers utilize during the process of creating new products and services where the working principle is a more detailed view on data at every single design step.\n\nI developed a set of tools during the last few weeks that help people to start working creatively with data, get an overview over the data landscape within their business model, and enable a more inclusive debate between the IT department and product representations. In the next few days I will further introduce the Data Innovation Board - a visual collaboration tool for Data Thinking Workshops.<br>\nIf you are interested in learning more about the method feel free to follow me here or on my other channels, or say hi in the comments. Moreover, I am happy to answer any questions regarding Data Thinking. Please leave a comment with your thoughts and ideas.\n<br>\nMy series of posts is about making you think a little deeper about every day concepts. I look forward to having you follow along and reading what you throw at me. Peace!\n<br><center>Twitter: [@tkronsbein](https://www.twitter.com/@tkronsbein)\nInstagram: [@tizian_kronsbein](https://instagram.com/tizian_kronsbein)\nYouTube: [Tizian Kronsbein](https://youtube.com/c/tiziankronsbein)\n<br> \n## References\nAtchison, S., and J. Burby, \"Big data and creativity: What we can learn from 'House of Cards'\", The Next Web,2016. https://thenextweb.com/insider/2016/03/20/datainspires-creativity/\nKedhane, J., \"A Robot May Have Written This Story\", WIRED, 2017.\nhttps://www.wired.com/2017/02/robots-wrote-this-story/\nLeviathan, Y., and Y. Matis, \"Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone\", Google AI Blog. http://ai.googleblog.com/2018/05/duplex-ai-system-fornatural-conversation.html\nMcAfee, A., and E. Brynjolfsson, \"Big Data: The Management Revolution\", Harvard Business Review, 2012. https://hbr.org/2012/10/big-data-the-managementrevolution\nSternkopf, H., and R.M. Mueller, \"Doing Good with Data: Development of a Maturity Model for Data Literacy in Non-governmental Organizations\", Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), IEEE Computer Society (2018), 5045–5054.\nSweney, M., \"Netflix gathers detailed viewer data to guide its search for the next hit\", The Guardian, 2014. http://www.theguardian.com/media/2014/feb/23/netflixviewer-data-house-of-cards</center>",
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      "permlink": "50-critical-questions-to-the-blockchain-and-cryptocurrency-trend",
      "title": "50 critical questions to the blockchain and cryptocurrency trend",
      "body": "![pexels-photo-730569.png](https://steemitimages.com/DQmSgTDM5Zn5TpUgUqQrv36LNynPhusjHeubx67Ce4Z519M/pexels-photo-730569.png)\n<center> 🇩🇪 [German Version](https://medium.com/disruptive-elements/50-kritische-fragen-zum-blockchain-und-cryptocurrency-trend-93b1fb6c98b8)\n\nNo matter where you are listening, everyone is talking about blockchain, cryptocurrencies and ICOs. Everyone has now consulting services and everyone is a self-proclaimed expert. Basically, the topic is fed with a lot of euphoria. But I have some questions …\n\n# To the technology\n1. Why do we need a blockchain at all?\n2. Is decentralization really good?\n3. Is centralization really bad?\n4. What is more dangerous?\n5. How much does a transaction really cost?\n6. Why is it so hard to create a wallet?\n7. Why is it so hard to develop good applications on the Blockchain?\n8. Is it okay if a transaction costs more than people in third world countries have to live on a daily basis?\n9. Is the blockchain from a civil-rights perspective acceptable at all?\n\n# To Bitcoin and Co.\n10.  Who is really behind the Blockchain and Bitcoin?\n11. Does Satoshi still have his private key?\n12. Could it be that Bitcoin is a prototype of central banks?\n13. What happens if we only have digital currencies?\n14. Why do I need a new wallet for each new currency?\n15. Why does everyone want to do an ICO?\n16. Why is that called ICO at all?\n17. Do you want to imply a value with ICO like with IPOs?\n18. How many people have lost their belongings in the price correction?\n19. Can the course be influenced by fake news?\n20. Who has the necessary power?\n21. Who has the capital to benefit massively?\n22. If Bitcoin trades on the stock market, doesn’t it not fail its purpose?\n23. Where is the bitcoin price at the end of the year?\nTo the blockchain startups and community\n24. Why is there only euphoric talk about blockchain at meet-ups?\n25. Do Blockchain Startups also have a Corporate Social Resposibility?\n26. What would Milton Friedman say to this?\n27. Why is everyone giving seminars on Blockchain?\n28. Do all Blockchain experts have cryptocurrencies?\n\n# To politics and society\n29. What does privacy, transparency, anonymity mean?\n30. How does a truly decentralized society look like?\n31. How do you explain Blockchain to a 9-year-old?\n32. How do teachers explain Blockchain to their students if they can not even explain MS Office properly?\n33. Whose fault is this?\n34. Does Mrs. Merkel know how a blockchain works?\n35. Does Trump think it’s gonna be huuuge?\n36. Will we get an eGovernment prototype before we have full-coverage broadband Internet in Germany?\n37. If centralization were gone, how many jobs would it destroy?\n\n# Questions to which nobody has an answer:\n38. What are crypto-kitties?\n39. Do children want to have Crypto Dogs for Christmas soon?\n40. How do Tamagotchis feel about that?\n41. Why should I trust cryptography if I do not understand it?\n42. Who is really guilty if the system collapses?\n43. If all of this is fraud, who is responsible if it is decentralized?\n44. What does (German) Rap Music have to do with cryptocurrencies (Kool Savas, Sido, Kollegah, 50Cent)?\n45. Does the blockchain threaten our freedom?\n46. ​​Is the blockchain really as big of a thing as the internet?\n47. How much influence do China and Russia have?\n48. Why are graphic cards suddenly so expensive?\n49. Is the bananacoin really organic?\n50. Is Jan Böhmermann angry because I got inspired by his 100 questions?\n\nOkay, the last one was a bit of a German inside joke maybe and of course these questions should mainly provoke us to think a bit more differentiated about the trend.\n\n#QOTD: Do you think the mood for Blockchain is too euphoric?\n\nPlease leave a comment with your thoughts and ideas.\nMy series of posts is about making you think a little deeper about every day concepts. So please, if you liked it upvote this article. It would mean the world to me! \n\nPeace!\n\nTwitter: [@tkronsbein](https://twitter.com/TKronsbein)\n\nInstagram: [@tizian_kronsbein](instagram.com/tizian_kronsbein)\n\nYouTube: [/tiziankronsbein](https://www.youtube.com/channel/UCDQkFBP8SuiRXSVgeh7iRLg)</center>",
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      "body": "![Artboard.png](https://steemitimages.com/DQmcqQfmH4e6hnq5YbtPUHrwSKVg7mUpQw7bitrkKNrnnHf/Artboard.png)\nHallo Steemians, \n\nich habe in den letzten Wochen einen neuen wöchentlichen Vlog gestartet der sich rund um die Themen Design & Data Thinking handelt. Ich werde hier vor allem das Daten Thema genauer behandeln. Ich würd mich über ein Upvote oder subscribe freuen. \n\nIn der ersten Folge war ich in Nürnberg um einen Workshop zu geben und in Folge zwei der DISRUPDATES war ich auf der Dmexco in Köln und habe Leute gefragt, was sie unter \"daten-getrieben\" verstehen. \n\n## NEUE IDEEN UND WORKSHOP IN NÜRNBERG | DISRUPDATE #1\nhttps://www.youtube.com/watch?v=SCz-ztfR5MU&t=11s\n\nIn der ersten Folge, bin ich mit Relevantive (http://www.relevantive.de) bei einem Workshop in Nürnberg. \nAußerdem erkläre ich, was ich hier vorhabe die nächsten Wochen. Es geht darum umzusetzen! Genau so, wie Jürgen das in dem Video sagt! Hier versuche ich das zu praktizieren. Ansonsten war es einfach nur komisch wieder in die Kamera zuquatschen und das merkt man. \nEs geht aber darum zu dokumentieren was wir bei Disruptive Elements so machen die Woche über. \nIhr findet und übrigens auch hier www.disruptive-elements.com\n\nFolgt meiner Entwicklung hier: https://www.youtube.com/playlist?list...\n\n\nShout out an dieser Stelle: \n\nMusic\n\n“Born Hustler” by Rowlan https://www.youtube.com/rowlanmusic\n“Woof Pt. 2” by Panthurr https://soundcloud.com/panthurr\n“Dreams” by Joakim Karud https://soundcloud.com/joakimkarud\n\nDrohnenshots:\n\nDanke an Leon Nguyen für die Berlin Aufnahmen. Folgt ihm Hier: https://www.youtube.com/user/xSeltixHD\nDanke an Marcel Clarck für die Aufnahmen in Nürnberg: Ihr findet ihn hier: https://www.youtube.com/channel/UCO7B...\n\n## DMEXCO: WAS BEDEUTET DATEN-GETRIEBEN? | DISRUPDATE #2\nhttps://www.youtube.com/watch?v=JTS2zKO7xY8\n\nDiese Woche waren wir zusammen auf der Dmexco. Ich habe auf der Dmexco festgestellt, dass alle mit dem Buzzword “daten-getrieben” werben. Doch was heißt Daten-getrieben eigentlich. Ich habe mal ein paar Aussteller aus der Startup Welt auf der Dmexco nach daten-getriebenen Geschäftsmodellen befragt und war sehr begeistert wie sie “Daten-getrieben” verstehen. \n\nIch habe Benjamin Marquis von Domraider.com, Markus Nemeth von pmOne & wundermailing.com und Matthias Krueger von cloudplan.com gefragt, was für sie “Daten-getrieben” bedeutet.\n\nFolgt meiner Entwicklung hier: https://www.youtube.com/playlist?list...\n\nIch würde mich riesig freuen, wenn euch das Dmexco Video gefallen hat und ihr einen Daumen hoch da lasst oder sogar den Channel abonnieren würde ❤️\n\nShout out an dieser Stelle: \n\nMusic\n\n“Legendary” by Rowlan https://www.youtube.com/rowlanmusic\n“Day-Glow” by Panthurr https://soundcloud.com/panthurr\n\n\nDrohnenshots:\n\nDanke an Martin für die Köln Aufnahmen. Folgt ihm Hier: https://www.youtube.com/channel/UCnEM...\n___\n\n► Abonniert meinen Kanal hier: http://www.youtube.com/subscription_c...\n___\n\n—\nDanke das ihr das Video geschaut habt. Ich hoffe diese wöchentlichen Videos sind spannender und dass ihr euch diese regelmäßiger anschaut. Ich würde mich freuen, wenn ihr abonnieren würdet und eure Meinung mit denen teilt, die es hören sollten. Ich lese all eure Kommentare und freue mich über jedes “Hallo”.\n\n\n<center>Please leave a comment with your thoughts and ideas OR Questions.\nMy series of posts is about making you think a little deeper about every day concepts. So please, if you liked it upvote this article. It would mean the world to me, really!\n\nPeace!\n\nTwitter: [@tkronsbein](www.twitter.com/@tkronsbein)\n\nInstagram: [@tizian_kronsbein](www.instagram.com/@tizian_kronsbein)\n\nWebsite: [www.tiziankronsbein.com](www.tiziankronsbein.com) </center>",
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