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Book Description

Marketers, merchandisers, and sales executives alike are struggling with Big Data - the data streaming at increasing speeds from myriad channels and options for communicating with customers. The tools are likely to continue to multiply, paralyzing many executives with simply too many choices. Using data from a four-year study, this book provides a process for rigorous decision making, eliminating the paralysis and optimizing decision making for marketing performance. This book is intended for a broad audience including students and professors in graduate business schools, and practicing business executives. The goal is to inform marketing practice and help current and future business leaders navigate through the competitive storms unleashed by technological change.

Table of Contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright
  5. Abstract
  6. Contents
  7. Chapter 1 Big Data and Dynamic Customer Strategy
  8. Chapter 2 The Elements of Dynamic Customer Strategy
  9. Chapter 3 Making Sense of Big Data
  10. Chapter 4 Operationalizing Strategy
  11. Chapter 5 Acquiring Big (and Little) Data
  12. Chapter 6 Analytics for the Rest of Us
  13. Chapter 7 Turning Models Into Customers
  14. Chapter 8 Of Metrics and Models
  15. Chapter 9 Making the Case for Big Data Solutions
  16. Chapter 10 Customer Culture
  17. Notes
  18. References
  19. Index
  20. Ad Page
  21. Backcover
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