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The Economics of Data, Analytics, and Digital Transformation

You're reading from  The Economics of Data, Analytics, and Digital Transformation

Product type Book
Published in Nov 2020
Publisher Packt
ISBN-13 9781800561410
Pages 260 pages
Edition 1st Edition
Languages
Author (1):
Bill Schmarzo Bill Schmarzo
Profile icon Bill Schmarzo

Table of Contents (14) Chapters

Preface 1. The CEO Mandate: Become Value‑driven, Not Data-driven 2. Value Engineering: The Secret Sauce for Data Science Success 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

A Review of Basic Economic Concepts

The single most powerful concept in the world of business is Economics.

Economics is the branch of knowledge concerned with the production, consumption, and transfer of wealth or value. It is the scientific study of human action and behaviors, particularly as it relates to human choice and the utilization of scarce assets to achieve certain outcomes.

Technology is interesting and cool; it's that new shiny thing. But technology on its own is only a tool, and a tool is only as valuable as how it is used to derive and drive new sources of wealth or value.

As organizations try to determine the value of their data and analytics, they need a mechanism or framework around which to make those valuation determinations—which means understanding basic economic concepts. While some of you may have taken an economics class in college not too long ago, some more "seasoned" readers may be rusty. So, let's take the time for...

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