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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
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

Organizations must avoid the cheap allure of "orphaned analytics"—building one-off analytics that address immediate business needs but lack the data science engineering effort to build composable, reusable, continuously learning analytic modules. The ability to leverage AI to create assets that appreciate (not depreciate) in value the more that they are used is a business and economics game-changer. Let's just open our eyes and take a lesson from Google and Tesla about becoming more effective at leveraging data and analytics to power (or even reinvent) their business models.

If you want to change the game, you need to change your frame.

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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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