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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

EvD Theorem #4: The Data Economic Multiplier Effect is the Real Game-changer

The ability to reuse the same data sets across multiple use cases at near-zero marginal cost is the real economic game-changer.

The use case-by-use case approach highlighted in EvD Theorem #3 is the key to exploiting the unique economic characteristics of data—an asset that never depletes, never wears out, and can be used across an unlimited number of use cases at near-zero marginal cost (yeah, there's the economic multiplier effect again). This use case by use case approach powers the economics "value in use" methodology for determining the value of a data set based upon the financial value of each use case (see Figure 5.5).

Figure 5.5: Ascertaining Data Value Use Case by Use Case

In Figure 5.5, Use Case #1 (Improve Vendor Product Quality) is worth $60M annually and requires 3 data sets (A, B, and C) to optimize that use case. Using a straight-line financial allocation...

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