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

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Published inNov 2020
PublisherPackt
ISBN-139781800561410
Edition1st Edition
Concepts
Data Analysis
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Bill Schmarzo
Bill Schmarzo
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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.
Read more about Bill Schmarzo

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Chapter 7: The Schmarzo Economic Digital Asset Valuation Theorem

  • "Economies of Learning" are more powerful than "Economies of Scale".
  • A use case-by-use case deployment approach exploits the "Economies of Learning" through the rapid learning and reapplication of those learnings to future use cases.
  • The Schmarzo Economic Digital Asset Valuation Theorem leverages the unique economic characteristics of data and analytics to increase organizational value via three "effects".
  • Digital Economics Effect #1: Since data never depletes, never wears out, and can be reused against an unlimited number of use cases at near-zero marginal cost, reusing "curated" data and analytic modules reduce the marginal costs of new use cases.
  • Data silos are the killers of the economic value of data.
  • Digital Economics Effect #2: Sharing and reusing the data and analytic modules accelerate use case time-to-value and de-risks...
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The Economics of Data, Analytics, and Digital Transformation
Published in: Nov 2020Publisher: PacktISBN-13: 9781800561410
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Bill Schmarzo

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