Digital Business Transformation: How Established Companies Sustain Competitive Advantage From Now to Next

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    Informative8.5
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    Value for money8.3

    Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning

    In today’s digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator.

    The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization’s data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise.

    The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company’s operations through AI and machine learning.

    By the end of the book, you will have the tools and techniques to drive your organization’s digital transformation.

    Digital Business Transformation: How Established Companies Sustain Competitive Advantage From Now to Next
    Digital Business Transformation: How Established Companies Sustain Competitive Advantage From Now to Next

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    8.2Expert Score
    Key takeaways and thoughts
    Resurrecting Retail is not just a riveting story of the unprecedented crash of industry, but a roadmap for its rebirth.
    Informative
    8.5
    Helpful
    8.5
    Easy to Read
    9
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    8.3

    From the Publisher

     

    Key Take-aways and Learnings

    Editorial Reviews

    “Bill’s book is what many of us in the industry have long been waiting for: a brain dump of his brilliant ideas, templates, and illustrations on how to use data to transform an organization.”

    Doug Laney, Data and Analytics Strategist, Adjunct Professor at the University of Illinois Gies College of Business

    “This book is a call to action for organizations that seek higher levels of performance. Bill’s book reminds us of the importance of evidence-based decision making, continuous learning of and continuous improvement through the lens of data and the value of analytics.”

    Elizabeth B. Davis, PhD., Dean of the School of Economics and Business Administration, St. Mary’s College of California

    “In this refreshing book, Bill delves into impressive areas of new research questioning the economic value of data and digital transformation that can be used to tackle the most pressing issues in today’s volatile business environment.”

    Mouwafac Sidaoui, Dean of the School of Business, Menlo College

    More about the author

    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.

    Bill SchmarzoBill Schmarzo

     

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