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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

Role of Analytic Modules

The orphaned analytics problem can be summarized as this:

"Organizations lack an overarching framework to ensure that the resulting analytics and associated organizational intellectual capital can be captured and reused across multiple use cases. Without this over-arching analytics framework, organizations end up playing a game of analytics "whack-a-mole" where the analytics team focuses their precious and valuable resources on those immediate (urgent) problems, short-changing the larger, more strategic analytic opportunities."

Organizations' use of orphaned analytics results in the following:

  • Inefficient use of data engineering and data science resources.
  • Analytics projects unattached to high-level strategic initiatives.
  • Limited organizational learning opportunities.
  • Difficulty in gaining strategic buy-in for investments in analytic technologies, resources, and skillsets.
  • Difficulty for the...
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