Building a data fluent organization
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The document discusses building a data fluent organization. It defines data fluency as the ability to fluidly exchange and explore ideas within an organization using the language of data. It presents a data fluency framework that identifies the key elements needed for an organization to unlock the value in their data, including having data literate consumers who can understand and draw meaning from data, data producers who can create effective data products, and an ecosystem that supports sharing data products. The framework emphasizes that for data to have value, an organization needs the right skills, culture, processes, and technologies to allow fluid movement and sharing of ideas through data.
Building a data fluent organization
- 1. Zach Gemignani, Founder & CEO, Juice Analytics Building a DATA FLUENT ORGANIZATION
- 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
- 5. Has big data failed to meet expectations? Gartner Hype Cycle Forbes, 2/14/14 Big Data
- 6. We need to refine data into products and decisions that drive your organization forward http://www.flickr.com/photos/rocor/6398436515
- 7. 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
- 8. 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? https://www.flickr.com/photos/kebabette/229919555/
- 9. Data fluency: the ability to use the language of data to fluidly exchange and explore ideas within your organization Data fluency
- 10. The focus of data fluency People & skills Communication Leadership Technology More data Tools
- 11. Data Fluency Framework Data product authoring Data fluent culture Data ecosystem Data Consumers Data Producers Individual Organization Data literate consumers
- 12. Data Literate Consumers Language of data Critical consumer How to find insights Data sources
- 13. Fantasy Football 25 million football fans transformed into sophisticated data consumers
- 14. Data Producers Message & audience Data visualization Data storytelling Form, aesthetics User actions
- 15. Rising standards for data viz
- 16. Leaders set expectations Shared language Well-understood key metrics Data Fluent Culture
- 17. Apple App Ecosystem App Store iOS SDK App Store sales and reviews iOS device users Developer rules & tools
- 18. 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
- 19. 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
- 20. 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
- 21. 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