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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

Concepts

Author (1):

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

Understanding the Big Data Business Model Maturity Index Phases

Let's deep dive into each phase of the Big Data Business Model Maturity Index (BDBMMI).

DEAN OF BIG DATA TIP:

From an advanced analytics perspective, Phase 1 of the BDBMMI leverages Descriptive and Exploration analytics to tell you what happened and why. Phases 2 and 3 of the BDBMMI leverage Predictive Analytics (to predict what is likely to happen) and Prescriptive Analytics (to prescribe preventative or recommended actions based upon the predictive analytics). Phase 5 leverages Automation and Autonomous analytics to create a business and operating model that is continuously learning and adapting to environmental and industry changes.

Phase 1: Business Monitoring: The Business Monitoring phase seeks to monitor and report on "What's Happened?" with respect to the operations of the business. The Business Monitoring phase is where companies leverage Business Intelligence (BI...

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Authors (1)

Bill Schmarzo

Bill Schmarzo, The Dean of Big Data is a University of San Francisco School of Management Executive Fellow and an Honorary Professor at the School of Business and Economics at the National University of Ireland-Galway where he teaches and mentors students in his courses “Big Data MBA” and “Thinking Like a Data Scientist". He is the author of Big Data: Understanding How Data Powers Big Business, Big Data MBA: Driving Business Strategies with Data Science, and The Art of Thinking Like a Data Scientist. He has written countless whitepapers, articles and blogs, and given keynote presentations and university lectures on the topics of data science, artificial intelligence/machine learning, data economics, design thinking and team empowerment.

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