Building an analytics strategy is crucial for every product manager. How do you build and implement an effective product analytics strategy that quantifies and drives product success and iteration? Director of Product at Electronic Arts, Bertram Chan, talked about how data analytics is no longer a luxury, its a competitive and integral need for Product Managers. He also discussed ways to understand not only who your users are but how they behave.

1. Intro to Data Analytics with EA’s Director of Product
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7. Bertram Chan
Tonight’s Speaker

8. WHAT DOES IT MEAN
TO BE DATA-DRIVEN?

9. INTRO TO ME
• Head of Product for EA’s Data
Platform for Player Analytics
• Shipped products including:
• Recommendation Systems
• Experimentation Systems
• Real-time Targeting &
Segmentation Tools
• Multi-channel Messaging Tools

10. AGENDA
• Defining data
• Who are you talking to?
• What is important?
• What could go wrong?
• Conclusion

11. DEFINING DATA

12. DEFINING DATA

13. WHO AREYOU TALKING TO?
• Executive
• Developer
• Designer
• Marketer
• Customer (Free/Demo)
• Customer (Paid)

14. WHAT IS IMPORTANT #1

15. WHAT IS IMPORTANT #2

16. WHAT IS IMPORTANT #2

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WHAT IS IMPORTANT #2

18. WHAT IS IMPORTANT #3

19. WHAT COULD GO WRONG?
• Bad Data
• Noise
• Seasonality
• False Positive
• Confounding Factors

20. CONCLUSION
• DefineYour Data Properly
• Remember WhoYou Are Talking To
• Identify What Is Important,When,And Why
• Were The Results Tested &Validated?
• Check For Things That Could Have Gone Wrong

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