The document discusses challenges developers face regarding data, including insufficient data, noisy data, excessive data, and the importance of securing data. It emphasizes the need to build trust with users by ensuring data security and providing a compelling user experience. Additionally, it addresses the complexities of handling large datasets and the implications for product growth and analytics.

1. What Developers Should Do with Data
Poornima
Vijayashanker
October 9, 2014
@poornima
1

2. Background
• R&D Engineer @ Synopsys
• Founding Engineer @ Mint.com
• Founder of BizeeBee
• Duke University
• EIR @ 500 Startups
• Founder of Femgineer
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3. Agenda
• Not enough data
• Noisy data
• Too much data
• Secure data
3

4. BIG
data
4

5. No
Data
Growth Product
Process.
Lots
of
Data
Noisy
Data
Secured
Data
Launch
Some
Customers
Traction
5

6. User Experience
6

7. make it
compelling
7

8. Why would I allow a 20-something to
access my financial data?!
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9. build trust
9

10. make it
frictionless
10

11. delight!
11

12. 12

13. Noisy data.
Data streams
Third-party
User actions
13

14. No
Data
Growth Product
Process.
Lots
of
Data
Noisy
Data
Secured
Data
Launch
Some
Customers
Traction
14

15. parse it
15

16. aggregate it
16

17. mash it up!
17

18. 18

19. 19

20. No
Data
Growth Product
Process.
Lots
of
Data
Noisy
Data
Secured
Data
Launch
Some
Customers
Traction
20

21. mo’ data.
mo’ problems!
21

22. Vocal minority or is it a major bug?
22

23. Analytics
23

24. Storage & Files
24

25. Hosting
25

26. Retrieval
26

27. Warehousing
27

28. No
Data
Growth Product
Process.
Lots
of
Data
Noisy
Data
Secured
Data
Launch
Some
Customers
Traction
28

29. Privacy
29

30. Unsecured data
30

31. Secure it!
User
Employee
Outsider
31

32. 32

33. Various hats
White hat
Black hat
Grey hat
33

34. responsible
disclosure
34

35. Review
• Not enough data
• Noisy data
• Too much data
• Secure data
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36. Get samples of the book:
http://femgineer.com/
transform-ideas
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37. q&a
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