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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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The Economic Multiplier Effect

The Economic Multiplier Effect refers to the increase in value arising from any new injection of usage. The size of the multiplier effect depends upon Marginal Propensity to Consume (MPC).

The Economic Multiplier Effect is one of the most important economic concepts developed by J.M. Keynes to explain the impact of an incremental increase in input (investment) on the resulting incremental increase in output (value). From a data and analytics perspective, the Economic Multiplier Effect manifests itself in the realization that data and analytic assets can multiple their value as they are reapplied beyond their initial use case to other use cases.

For example, when retailers installed Point of Sale (POS) systems in the early 1980s, their primary motivation was a desire to reduce labor costs while ensuring consistent pricing at the cash register. Few imagined the add-on benefits from being able to reapply the same POS dataset across numerous sales...

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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