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Data Analysis Goes Wrong by Microsoft Sr PM.pdf

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Data Analysis Goes Wrong by Microsoft Sr PM.pdf

  1. 1. Data Analysis Goes Wrong by Microsoft Sr PM productschool.com
  2. 2. Your Product Management Certificate Path Certificates Product Manager Certification™ Senior Product Manager Certification™ Product Leader Certification™
  3. 3. Corporate Training Level Up Your Team Management Skills productschool.com
  4. 4. Come join us on Launch! Become part of our exclusive community Where Product People go to connect, exchange ideas and build better together! Join exclusive product community
  5. 5. Free Product Management Resources Resources Events Courses Podcasts Newsletters Communities eBooks and Reports
  6. 6. WARM-UP
  7. 7. Data Analysis Goes Wrong Michael Makhlevich | Microsoft Sr PM
  8. 8. Michael Makhlevich S P E A K E R
  9. 9. A G E N D A 2. 1. With which data to start and how it will end? Where to start? 4. 3. Summary Did it end well?
  10. 10. Where to start?
  11. 11. Data analysis lifecycle Get the data Prepare the data Analyze the data Evaluate the result Communicate
  12. 12. Data analysis lifecycle Problem Get the data Prepare the data Analyze the data Evaluate the result Communicate *simplified from Jeff Hammerbachermodel
  13. 13. PMs always start with the problem
  14. 14. PMs always start with the problem 1. Is that really a problem? 2. Is that tangible or perceptional problem? PMs always start with the problem
  15. 15. PMs always start with the problem 1. Is that really a problem? 2. Is that tangible or perceptional problem? 3. How important is this problem? 4. Have I solved it? PMs always start with the problem
  16. 16. DATA DRIVEN
  17. 17. DATA DRIVEN
  18. 18. CUSTOMER DRIVEN DATA INFORMED
  19. 19. Where to start?
  20. 20. Where to start? With a good question in hand
  21. 21. With which data to start and how it will end?
  22. 22. Data analysis lifecycle Problem Get the data Prepare the data Analyze the data Evaluate the result Communicate *simplified from Jeff Hammerbachermodel
  23. 23. The Cobra Effect India during British rule Goal: #venomous cobras in Delhi Action: bounty for every dead cobra Result: people breed cobras to get the bounty, not decreasing the population.
  24. 24. SEO SEO Search Engine Optimization
  25. 25. Adversarial data influence Anti-facial recognition shirt Autonomous car sensing
  26. 26. Clever Hans
  27. 27. Observer effect itself, but the nature exposed to our -Werner Heisenberg Observed system is affected by the act of observation
  28. 28. Incentive alignment Luis von Ahn Consulting Professor in the Computer Science Department at Carnegie Mellon University
  29. 29. Where there's smoke, there's fire
  30. 30. Where there's smoke, there's fire 0 1 2 3 4 5 6 7 1 2 3 4 5 6 7 Capsule popularity
  31. 31. play a data game Pre pandemic world, you are flying to ____, yay! How would you find a great restaurant?
  32. 32. play a data game
  33. 33. play a data game The Shed At Dulwich #1 restaurant in London Dec 2017
  34. 34. play a data game What inherently happens when you eat in a restaurant (and enjoy)? You show off You are in a place You pay
  35. 35. With which data to start and how it will end?
  36. 36. With which data to start and how it will end? Data rooted in reality and take incentives into account
  37. 37. Did it end well?
  38. 38. Data analysis lifecycle Problem Get the data Prepare the data Analyze the data Evaluate the result Communicate *simplified from Jeff Hammerbachermodel
  39. 39. Incentive alignment Andrés Iniesta Wikipedia 442 La Liga games 35 goals 86 assists
  40. 40. Did it end well?
  41. 41. Did it end well? Do a sanity check
  42. 42. S U M M A R Y 2. 1. Find data rooted in reality Start with the problem 4. 3. Always do a sanity check Data effects back, understand incentives
  43. 43. S U M M A R Y 2. 1. Find data rooted in reality Start with the problem 4. 3. Always do a sanity check Data effects back, understand incentives Problem Get the data Prepare the data Analyze the data Evaluate the result Communicate
  44. 44. Stay in touch! Michael Makhlevich | miki.makhlevitch@gmail.com WWW.PRODUCTSCHOOL.COM
  45. 45. Thank You! WWW.PRODUCTSCHOOL.COM
  46. 46. Part-time Product Management Training Courses and Corporate Training productschool.com

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