Big Data Black Hole
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The document discusses challenges that businesses face in effectively collecting and using customer data. It notes that wages are stagnant and customers have more information available to them, shifting the balance of power. Businesses tend to focus on data-driven tactics like advertising and personalization without truly understanding customer needs. The document argues that most businesses have a distribution problem, not a data problem, and that innovation and intuition can be stronger than data alone. It provides examples of successful entrepreneurs who relied on these qualities over just analyzing data. Overall, the document advocates for transforming how businesses collect and understand customer feedback to better meet individual needs.
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
- 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
Editor's Notes
- #23: http://www.musanim.com/miller1956/The rate you can receive and process information diminishes greatly after 7 points of information.
- #24: 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.
- #36: Formula Builder by User to Show Fan Count and by Keyword