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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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Author (1)
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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Summary

While the economic concepts may not apply to your daily jobs, more and more I expect that the data and analytics monetization conversations will center on basic economic concepts as organizations seek to exploit the economic value of their data and analytics to improve operational decision-making and power their business models. Data and analytics exhibit unusual behaviors from that of a traditional asset and applying economic concepts to these behaviors may help organizations as they seek to prioritize and optimize their data and analytic investments.

So, sorry for bringing back bad college memories about your economics classes, but hey, no one said that data and analytics were going to be only fun!

Figure 3.10: An Infographic Summary of Many of the Key Economic Concepts covered in this chapter

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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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