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The Economics of Data, Analytics, and Digital Transformation

You're reading from   The Economics of Data, Analytics, and Digital Transformation The theorems, laws, and empowerments to guide your organization's digital transformation

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800561410
Length 260 pages
Edition 1st Edition
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Author (1):
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Bill Schmarzo Bill Schmarzo
Author Profile Icon Bill Schmarzo
Bill Schmarzo
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Table of Contents (14) Chapters Close

Preface 1. The CEO Mandate: Become Value‑driven, Not Data-driven 2. Value Engineering: The Secret Sauce for Data Science Success FREE CHAPTER 3. A Review of Basic Economic Concepts 4. University of San Francisco Economic Value of Data Research Paper 5. The Economic Value of Data Theorems 6. The Economics of Artificial Intelligence 7. The Schmarzo Economic Digital Asset Valuation Theorem 8. The 8 Laws of Digital Transformation 9. Creating a Culture of Innovation Through Empowerment 10. Other Books You May Enjoy
11. Index
Appendix A: My Most Popular Economics of Data, Analytics, and Digital Transformation Infographics
1. Appendix B: The Economics of Data, Analytics, and Digital Transformation Cheat Sheet

Chapter 5: The Economic Value of Data Theorems

  • The Data Economic Multiplier Effect: Data never wears out, never depletes, and can be used across an unlimited number of use cases at near-zero marginal cost.
  • Theorem #1: It isn't the data itself that's valuable; it's the trends, patterns, and relationships gleaned from the data about your customers, products, and operations that are valuable.
  • Theorem #2: It is from the quantification of the trends, patterns, and relationships that drive predictions about what is likely to happen.
  • Theorem #3: Predictions drive monetization opportunities through improved business and operational use cases.
  • Theorem #4: The ability to reuse the same datasets across multiple use cases is the real economic game-changer.
  • Theorem #5: Trying to optimize across a diverse set of objectives can yield more granular, higher fidelity outcomes that enable "doing more with less".
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