Building a Data Fluent Organization

We are doing away with the antiquated model where data nerds are the gatekeepers of all that big data and information flow. In essence, the entire company needs to become fluent in the language of data.

Transcript

1. copyright Juice, Inc. 2016 Building a DATA FLUENT ORGANIZATION Zach Gemignani, Founder & CEO, Juice Analytics
2. copyright Juice, Inc. 2016 Improvements More about what data fluency means. Flows of information From data to action Data is expensive. Information is valuable. Culture slide is boring. Data producers —> authors http://www.presentationzen.com/presentationzen/2009/05/making-presentations-in- the-ted-style.html
3. copyright Juice, Inc. 2016 1. Three short stories… What do they have in common? Show that data is the new language. And people struggle to use and understand it. 2. At Juice, we are known for our ability to visually communicate with data. At the same time, we’ve worked with dozens of clients in many industries who are trying to make better use of data. But when Nathan Yau and Wiley asked us to write a book — after 10 years of blogging, white paper (credibility building) — we didn’t want to just write another data visualization book — it has been done well. We’ve often said this: it isn’t a technical problem, it is a social problem. From our experience, using data isn’t just about individual skills, it is about an attitude, culture, and capabilities. 3. What is data fluency? What is at stake? Why does it matter? Informed decisions; organizational alignment; digital divide; 4. How do you do it: Explain/build framework. Four quadrants — What it is + example + our recommendations. 5. What does that mean for me? What can I do? — personally, professionally Outline
4. copyright Juice, Inc. 2016 Day after day, day after day, We stuck, nor breath nor motion; As idle as a painted ship Upon a painted ocean. Water, water, every where, And all the boards did shrink; Water, water, every where, Nor any drop to drink. — The Rime of the Ancient Mariner, Samuel Coleridge
5. copyright Juice, Inc. 2016
6. copyright Juice, Inc. 2016
7. copyright Juice, Inc. 2016 Big Data Has big data failed to meet expectations? Gartner Hype Cycle Forbes, 2/14/14
8. copyright Juice, Inc. 2016 http://www.flickr.com/photos/rocor/6398436515 We need to refine data into products and decisions that drive your organization forward copyright Juice, Inc. 2016
9. copyright Juice, Inc. 2016 Spreadsheet proliferation Lack of BI adoption Ivory-tower analytics Stuck data warehouse projects Many, disparate data sources Inaccessible reporting Lack of management support for data projects Data scientists Dashboards Data visualization and storytelling Big Data Technologies ROI-justification of data projects Self-service BI Master Data Management Cross-trained analysts Lots of problems, lots of solutions
10. copyright Juice, Inc. 2016 https://www.flickr.com/photos/kebabette/229919555/ What does it take for an organization to be able to unlock the value in their data? What skills, culture, processes and technologies are required? copyright Juice, Inc. 2016
11. copyright Juice, Inc. 2016 Data fluency: the ability to use the language of data to fluidly exchange and explore ideas within your organization.
12. copyright Juice, Inc. 2016 People & skills Communication Leadership Technology More data Tools The focus of data fluency
13. copyright Juice, Inc. 2016 Data product authoring Data fluent culture Data ecosystem Data literate consumers Data Fluency Framework Data Consumers Data Producers Individual Organization
14. copyright Juice, Inc. 2016 Language of data Critical consumer How to find insights Data sources Data Literate Consumers
15. copyright Juice, Inc. 2016 Fantasy Football 25 million football fans transformed into sophisticated data consumers
16. copyright Juice, Inc. 2016 Message & audience Data visualization Data storytelling Form, aesthetics User actions Data Producers
17. copyright Juice, Inc. 2016 Rising standards for data viz
18. copyright Juice, Inc. 2016 Data Fluent Culture Leaders set expectations Shared language Well-understood key metrics
19. copyright Juice, Inc. 2016 Apple App Ecosystem iOS SDK Developer rules & tools App Store sales and reviews iOS device users App Store
20. copyright Juice, Inc. 2016 Development tools Standards and training Feedback and improvement Discoverability and sharing Data users Data Ecosystem An environment that supports fluid movement and sharing of ideas through data
21. copyright Juice, Inc. 2016 Ability to understand and draw meaning from data products Skills to create effective data products Ecosystem for building and sharing data products Foundation for common interpretation of data products Data Fluency Framework Data Consumers Data Producers Individual Organization
22. copyright Juice, Inc. 2016 So you’ve got Big Data… You have all the data and technology you need Data is only as good as the people using it Shared understanding and communication is the missing link
23. copyright Juice, Inc. 2016 Our perspective A decade of working with businesses who wonder: “How can I get more value from my data?” • Web dashboards • Visualizations • Analytical tools We work with great companies! copyright Juice, Inc. 2016
24. copyright Juice, Inc. 2016 info@juiceanalytics.com Twitter: juiceanalytics Linkedin: linkedin.com/company/juiceanalytics