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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 1: The CEO Mandate: Become Value-driven, Not Data-driven

  • "Data is the new oil" in that the way that oil fueled the economic growth of the 20th century, data will be the catalyst for the economic growth in the 21st century.
  • If "data is the new oil," then how effective is your organization at leveraging data and analytics to power your business model?
  • Data may be the new oil, but it is the customer, product, and operational analytic insights buried in the data that will determine the winners and losers in the 21st century.
  • Crossing the "Analytics Chasm" requires organizations to leverage the economics of data and analytics on a use case-by-use case basis.
  • Data science is about identifying variables and metrics that might be better predictors of performance.
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