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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 4: University of San Francisco Economic Value of Data Research Paper

  • Accounting is a "Value in Exchange" asset valuation methodology; that is, the value of an asset is determined by what someone is willing to pay for that asset.
  • Economics is a "Value in Use" asset valuation methodology; that is, the value of an asset is determined by the value generated using that asset.
  • A data lake can be transformed into a "collaborative value creation" platform by facilitating the capture, refinement, and reuse of the organization's data and analytic assets across multiple use cases.
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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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