OSU Big Data Conference, Oklahoma City
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Data visualization, data discovery, Tableau Data Interpreter, data covernance
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OSU Big Data Conference, Oklahoma City
- 2. Who am I? Why am I here? • Passion for data visualization • 34 years in business • 8 years in consulting
- 3. Who are you? Why are you here? • Data analyst • Database expert • Manager • C-level
- 4. Your Reality • Limited budget • Constrained technical staff • Increasing variety of data sources • Increasing volume of requests • Increasing velocity of change
- 5. Critical Needs • Reporting / analysis / discovery • Speed • Security
- 6. Big Data? Variety is the challenge.
- 7. Data Visualization • Why do it? • How to deploy it • How to secure it
- 8. Data Visualization The lingua franca of data. A language that is adopted as a common language between speakers whose native languages are different. As a means for dealing with variety.
- 10. Critical Needs Item #1 • Reporting • Analysis • Discovery Data visualization enhances all three
- 11. Desirable Qualities • Easy to learn / use • Connect to many data sources • Deploy quickly • Manage easily • Scale securely
- 12. Your Challenges & Opportunities • Accountability – moving to where it belongs • Availability – data from a variety of sources • Responsiveness – tech resources on demand
- 13. Critical Needs Item #2 • Speed of deployment • Speed of response • Speed of analysis
- 14. Speed of Deployment • Train everyone (technical staff in particular) • Pick a project (< 4 weeks) • Success builds enthusiasm / momentum
- 15. Why Training? • What works in the old doesn’t in the new • Non-technical users need help • Ensure scalability
- 16. Why < 4 Week Project? • Evolution is better than revolution
- 17. Small Projects Build Enthusiasm Quick wins provide the team with confidence and build an appetite for more success.
- 18. Speed of Response Restructure the IT group by creating a rapid-response team. Rapid = < 1 hour to immediate
- 19. Speed of Analysis • Given end users accessible tools • Publishing in a browser (embeddable / flexible) • Creating a rapid-response team in IT
- 20. Critical Needs Item #3 • Controlled access (security / governance) • Right mindset in IT & end users • Means for tracking unstructured data Holistic data governance policies that place accountability where it belongs and leverage emerging technology to track data lineage.
- 21. Controlled Access • Current tools do this well
- 22. Right Mindset • Define what IT owns • Define what the creator owns • This isn’t a technology problem
- 23. Tracking Unstructured Data • Hard to do with existing methods / technology • Data aware storage is part of the answer • Populating the NAS (network attached storage NAS = Network Aware Storage
- 24. Data Aware Storage: NAS Secure Sync
- 25. Solution Review 1. Reporting / analysis / discovery 2. Speed 3. Security Your audience handout includes web links to blog posts that include more information.