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

Author (1)

Bill Schmarzo

Transitioning from Business Insights to Business Optimization

Here are the actions to transition from Phase 2: Business Insights to Phase 3: Business Optimization:

Evaluate the customer, product, and operational Analytic Insights uncovered in the Business Insights phase for business and operational relevance based upon the Strategic, Actionable, and Material value of those insights with respect to the business and operational objectives of the top-priority use cases.
Develop Prescriptive and Preventative Analytics (preventative analytics are analytic outcomes that provide the analytic insights necessary to prevent an action or event from happening) in order to deliver actionable recommendations and propensity scores in support of the business and operational stakeholders' key Decisions with respect the top-priority business and operational Use Cases.
Deploy a Data Lake with full data management capabilities (indexing, cataloging, metadata enrichment, governance...

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Author (1)

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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