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Spark 2017: Moving From Data to Analytics to Action by Ari Isaacman Bevaqua

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Spark 2017: Moving From Data to Analytics to Action by Ari Isaacman Bevaqua

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Spark 2017: Moving From Data to Analytics to Action by Ari Isaacman Bevaqua

  1. 1. You have information
  2. 2. 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 012345678901234567890123456789012345678901234567890123456789012345678901234567890123456789 Data!
  3. 3. You have analytics
  4. 4. Graphs galore!
  5. 5. Dashboard Dashboard Dashboard Dashboard
  6. 6. But if a dashboard exists and no one is using it...
  7. 7. Or perhaps worse... cherry-picking statistics from dashboards to support assumptions
  8. 8. You have been trained to have empathy...
  9. 9. For the user (Reader. Customer. Etc.)
  10. 10. In order for your data and analytics to have an impact internally, you must have empathy...
  11. 11. For your colleagues
  12. 12. Who are they? How do they learn? What motivates them?
  13. 13. What I’ve seen work well: 1. Structured meetings aligned to goals 2. Tools that are in the right place at the right time 3. Tailored and measured communication that is pushed to decision makers and implementers
  14. 14. #1. Integrate data into structured, important meetings, aligned to goals
  15. 15. CompStat
  16. 16. Daily 9:30 Meeting
  17. 17. #2. Integrate data and analytics into tools that are in the right place at the right time
  18. 18. Blossom
  19. 19. Stela
  20. 20. #3. Tailored and measured communication that is pushed to decision makers and implementers
  21. 21. It’s our job to not only understand the data and analytics… But also to help ensure our colleagues understand, value and learn from data and analytics too.
  22. 22. What has worked for you? What hasn’t worked? Let’s discuss! And keep in touch: ari@nytimes.com @ari_nyt

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