Big Data Black Hole

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Expion

Tecnología

Wages Are Not Rising

@Expion / @albert4waves

Dollars Available = Shrinking

@Expion / @albert4waves

The Rise of Mobile

@Expion / @albert4waves

The Collaborative Economy

@Expion / @albert4waves

Customers Have More Information

@Expion / @albert4waves

Data Tools and Their Focus

@Expion / @albert4waves

Display Advertising

@Expion / @albert4waves

Web Personalization

@Expion / @albert4waves

Web Optimization

@Expion / @albert4waves

This is not innovation… this is SOP

@Expion / @albert4waves

Where Your Data Needs to Be

@Expion / @albert4waves

What you are asking, “How do I…”
•
•
•
•

@Expion / @albert4waves

But the customer wants to know…
•
•
•
•

@Expion / @albert4waves

Make my life better

@Expion / @albert4waves

Make it right if it sucks

@Expion / @albert4waves

Go the extra mile

@Expion / @albert4waves

Ask Yourself, “Why is my data
not working for me?”

@Expion / @albert4waves

You think you need more…

@Expion / @albert4waves

You are not aware of Miller’s Law

@Expion / @albert4waves

You are trying to be Nate Silver

@Expion / @albert4waves

You rely entirely on data to predict
customer needs…

@Expion / @albert4waves

You don’t know what’s important

@Expion / @albert4waves

If business results were dependent
on data, then how come?

@Expion / @albert4waves

Most businesses don’t have a
data problem, they have a
distribution problem

@Expion / @albert4waves

Innovation and Instincts can
be Stronger than Data

@Expion / @albert4waves

Thin Slicing
•

•
–
–

@Expion / @albert4waves

What would make this more scary?

@Expion / @albert4waves

Case: Blake Mycoskie

@Expion / @albert4waves

Case: Nick Woodman

@Expion / @albert4waves

Case: Sara Blakely

@Expion / @albert4waves

Analyze total but distribute local
VOICE OF CUSTOMER (CEM)
E-mails
Surveys

Chat
Online Feedback
Call Center
Transactions
Facebook
Twitter
Social:
G+, Youtube, Insttagram, Pinterest, Tumlblr, …

Ratings & Review

Online Communities
Blogs
Voice Transcriptions

@Expion / @albert4waves

T
R
A
N
S
F
O
R
M
A
T
I
O
N

STAKEHOLDERS
Product Management
Operations
Customer Care
Sales & Marketing

Content
Optimization
and
Distribution

Human Resources
Executives
Research and
Development

The Future Will Be Won By…
•
•
•

@Expion / @albert4waves

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Big Data Black Hole

1. The Big Data Black Hole @Expion / @albert4waves

2. The Customer @Expion / @albert4waves

3. Wages Are Not Rising @Expion / @albert4waves

4. Dollars Available = Shrinking @Expion / @albert4waves

5. The Rise of Mobile @Expion / @albert4waves

6. The Collaborative Economy @Expion / @albert4waves

7. Customers Have More Information @Expion / @albert4waves

8. Data Tools and Their Focus @Expion / @albert4waves

9. Display Advertising @Expion / @albert4waves

10. Email @Expion / @albert4waves

11. Web Personalization @Expion / @albert4waves

12. Web Optimization @Expion / @albert4waves

13. This is not innovation… this is SOP @Expion / @albert4waves

14. Where Your Data Needs to Be @Expion / @albert4waves

15. What you are asking, “How do I…” • • • • @Expion / @albert4waves

16. But the customer wants to know… • • • • @Expion / @albert4waves

17. Make my life better @Expion / @albert4waves

18. Make it right if it sucks @Expion / @albert4waves

19. Go the extra mile @Expion / @albert4waves

20. Ask Yourself, “Why is my data not working for me?” @Expion / @albert4waves

21. You think you need more… @Expion / @albert4waves

22. You are not aware of Miller’s Law @Expion / @albert4waves

23. You are trying to be Nate Silver @Expion / @albert4waves

24. You rely entirely on data to predict customer needs… @Expion / @albert4waves

25. You don’t know what’s important @Expion / @albert4waves

26. If business results were dependent on data, then how come? @Expion / @albert4waves

27. Most businesses don’t have a data problem, they have a distribution problem @Expion / @albert4waves

28. Innovation and Instincts can be Stronger than Data @Expion / @albert4waves

29. Thin Slicing • • – – @Expion / @albert4waves

30. What would make this more scary? @Expion / @albert4waves

31. Case: Blake Mycoskie @Expion / @albert4waves

32. Case: Nick Woodman @Expion / @albert4waves

33. Case: Sara Blakely @Expion / @albert4waves

34. Analyze total but distribute local VOICE OF CUSTOMER (CEM) E-mails Surveys Chat Online Feedback Call Center Transactions Facebook Twitter Social: G+, Youtube, Insttagram, Pinterest, Tumlblr, … Ratings & Review Online Communities Blogs Voice Transcriptions @Expion / @albert4waves T R A N S F O R M A T I O N STAKEHOLDERS Product Management Operations Customer Care Sales & Marketing Content Optimization and Distribution Human Resources Executives Research and Development

35. The Future Will Be Won By… • • • @Expion / @albert4waves

36. Thank You @Expion / @albert4waves

Notas del editor

http://www.musanim.com/miller1956/The rate you can receive and process information diminishes greatly after 7 points of information.
The accuracy of his November 2008 presidential election predictions—he correctly predicted the winner of 49 of the 50 states—won Silver further attention and commendation. The only state he missed was Indiana, which went for Barack Obama by one percentage point. He correctly predicted the winner of all 35 U.S. Senate races that year.Data has more capability to prove the short term, but not necessarily the long term. A Binary Outcome.
Formula Builder by User to Show Fan Count and by Keyword

Big Data Black Hole

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