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Building a data fluent organization


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In a world of big data, many organizations are struggling to understand how they can exploit this asset. In this presentation we share our framework for creating a Data Fluent organization. Building data fluency requires both individual skills in understanding and communicating data as well as a culture, processes, and tools for using your data.

Published in: Data & Analytics, Technology
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Building a data fluent organization

  1. 1. Zach Gemignani, Founder & CEO, Juice Analytics Building a DATA FLUENT ORGANIZATION
  2. 2. 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
  3. 3. Has big data failed to meet expectations? Gartner Hype Cycle Forbes, 2/14/14 Big Data
  4. 4. We need to refine data into products and decisions that drive your organization forward
  5. 5. Lots of problems, lots of solutions 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
  6. 6. 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?
  7. 7. Data fluency: the ability to use the language of data to fluidly exchange and explore ideas within your organization Data fluency
  8. 8. The focus of data fluency People & skills Communication Leadership Technology More data Tools
  9. 9. Data Fluency Framework Data product authoring Data fluent culture Data ecosystem Data Consumers Data Producers Individual Organization Data literate consumers
  10. 10. Data Literate Consumers Language of data Critical consumer How to find insights Data sources
  11. 11. Fantasy Football 25 million football fans transformed into sophisticated data consumers
  12. 12. Data Producers Message & audience Data visualization Data storytelling Form, aesthetics User actions
  13. 13. Rising standards for data viz
  14. 14. Leaders set expectations Shared language Well-understood key metrics Data Fluent Culture
  15. 15. Apple App Ecosystem App Store iOS SDK App Store sales and reviews iOS device users Developer rules & tools
  16. 16. Data Ecosystem Development tools Standards and training Feedback and improvement Discoverability and sharing An environment that supports fluid movement and sharing of ideas through data Data users
  17. 17. Data Fluency Framework Data Consumers Data Producers Individual Organization 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
  18. 18. 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
  19. 19. Healthcare, advertising & media, marketing A decade of working with businesses who wonder: “How can I get more value from my data?” Web dashboards Visualizations Analytical tools