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

Product typeBook
Published inNov 2020
PublisherPackt
ISBN-139781800561410
Edition1st Edition
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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.
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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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The Economics of Data, Analytics, and Digital Transformation
Published in: Nov 2020Publisher: PacktISBN-13: 9781800561410

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