Developers rely on manipulating data to create an engaging product for users. But in the early stages of a product, there is a dearth of it, which can make the user experience dull. Then as the product ages, the amount of data increases, and can become too noisy if not properly organized. In this talk, Poornima Vijayashanker will provide some strategies for dealing with data life cycles, and how to understand what stage you're at to guide product development.

1. What Developers Should Do with Data
Poornima
Vijayashanker
October 9, 2014
@poornima
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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!
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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!
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22. Vocal minority or is it a major bug?
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23. Analytics
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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
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32. 32

33. Various hats
White hat
Black hat
Grey hat
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34. responsible
disclosure
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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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