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

Product type Paperback

Published in Nov 2020

Publisher Packt

ISBN-13 9781800561410

Length 260 pages

Edition 1st Edition

Concepts

Data Analysis

Author (1):

Bill Schmarzo

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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 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

DX Law #2: It's About Digital Transformation, Not Digitalization

Digital Transformation is about reinventing your customer engagements and business operations with continuously learning AI capabilities to derive and drive new sources of customer, product, service, and operational value.

Digital Transformation is more than just digitalization, which is the integration of digital technologies such as web-based apps, mobile devices, and sensors into existing operational processes. digitalization enhances or replaces human-centric processes with digital technologies, such as transmitting current patient health and wellness data to the cloud using mobile devices, apps, and sensors on a real-time, granular basis instead of requiring patients to physically travel to a care facility on an as-needed basis and have their vital health and wellness numbers manually recorded by a nurse (see Figure 8.3).