Randy Bean - Fail Fast, Learn Faster
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- Название:Fail Fast, Learn Faster
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Fail Fast, Learn Faster: краткое содержание, описание и аннотация
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, Fortune 1000 strategic advisor, noted author, and distinguished thought leader Randy Bean tells the story of the rise of Big Data and its business impact – its disruptive power, the cultural challenges to becoming data-driven, the importance of data ethics, and the future of data-driven AI.
The book looks at the impact of Big Data during a period of explosive information growth, technology advancement, emergence of the Internet and social media, and challenges to accepted notions of data, science, and facts, and asks what it means to become «data-driven.»
Fail Fast, Learn Faster The emergence of Big Data and why organizations must become data-driven to survive Why becoming data-driven forces companies to «think different» about their business The state of data in the corporate world today, and the principal challenges Why companies must develop a true «data culture» if they expect to change Examples of companies that are demonstrating data-driven leadership and what we can learn from them Why companies must learn to «fail fast and learn faster» to compete in the years ahead How the Chief Data Officer has been established as a new corporate profession Written for CEOs and Corporate Board Directors, data professional and practitioners at all organizational levels, university executive programs and students entering the data profession, and general readers seeking to understand the Information Age and why data, science, and facts matter in the world in which we live,
p;is essential reading that delivers an urgent message for the business leaders of today and of the future.
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Table of Contents
1 COVER
2 TITLE PAGE Fail Fast, Learn Faster Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI Randy Bean Foreword by Thomas H. Davenport
3 COPYRIGHT
4 DEDICATION
5 FOREWORD
6 PREFACE
7 INTRODUCTION: FAIL FAST, LEARN FASTER Notes
8 1 A Little History of Big Data The Big Data Value Proposition The Implications of Big Data for Large Companies The Transformational Impact of Big Data The Business Value of Big Data Notes
9 2 Think Different: Becoming Data-Driven The Disruptive Power of Data The Challenge for Legacy Companies The Distinctive Characteristics of Data Building a Modern Data Environment at Fannie Mae Thinking Different in the Life Sciences: Creating a Platform for Real-World Evidence Building a Unified Data Platform at Anheuser-Busch (AB Inbev) Using Data to Address Natural Calamities at Munich Re Notes
10 3 Insight and Knowledge: Data, Science, and Facts Data Initiatives Successes and Failures Organizing for Data-Driven Analysis at Cigna Using Data for Clinical Trails: Driving a COVID-19 Cure at Parexel Building a World-Class Genetics Center at Regeneron Using Data to Reduce Healthcare Costs at the Health Transformation Alliance Notes
11 4 The State of Data in the Corporate World Today The 2021 Big Data and AI Executive Survey Findings A Summary of the Key Themes Data Investment Is Strong and Growing Companies Struggle to Become Data-Driven Cultural Obstacles Continue to Be the Greatest Impediment to Success The Chief Data Officer Role Continues to Evolve Companies Are Optimistic About the Future For Mainstream Companies, the Journey Continues Note
12 5 The Great Challenge: Establishing a Data Culture Fighting an Uphill Battle Understanding the Cultural Impediments How Companies Can Overcome Cultural Obstacles From Data-Rich to Data-Driven: Building Data Literacy at AmFam Cultural Transformation: Building a Data Culture Program at Travelers Insurance Creating an Enterprise Data Office at Nationwide Insurance Integrating the Human and Technology Dimensions of Data at Northern Trust Notes
13 6 The Rise of the Chief Data Officer Sexiest Job of the Twenty-First Century Emergence of the Chief Data Officer Rethinking the Role of Chief Data Officer Chief Data Officers Struggle to Make an Impact The Evolution of the Chief Data Officer Role The Future of the Chief Data Officer Role Shaping the Role of the CDO: MIT's Chief Data Officer Symposium Organizing the Chief Data Officer Function at Citizens Financial Group Chief Data Officer 4.0: Evolution of the Function at Scotia Bank Emphasizing Data Privacy and Data Ethics at Mastercard The U.S. Federal Government CDO Initiative Notes
14 7 Data Responsibility: A Word on Data Ethics Weapons of Math Destruction? Big Data for Social Good Initiatives The Emergence of Data Ethics Data for Social Good: Bloomberg's Data for Good Exchange Doing Good and Doing Well: Mastercard's Center for Inclusive Growth Data-Driven Responsible Investing at TIAA/Nuveen Notes
15 8 Data, Innovation, and Disruption The Ways Big Data Drives Disruption Alternative Visions of Data-Driven Disruption Data Disruption Through FinTech Allstate's Data-Driven Innovation Initiatives Another Perspective on Disruption and Change The Limitations of Data-Driven Disruption Notes
16 9 A Glimpse of the Future: Data-Driven AI Understanding Machine Learning Versus AI Delivering Business Value from AI The Capital One Story: A Pioneer in Data-Driven Management Invests in AI JP Morgan Stakes a Commitment on AI The AI Transformation Initiatives of TD Bank Charles Schwab's AI Transformation Commitment Notes
17 10 BecomingData-Driven: One Company's Odyssey The Foundation of Data-Driven Transformation The Ten Commandments of Data-Driven Business Transformation One Company's Odyssey: The Data-Driven Journey of American Express Notes
18 CONCLUSION: A DATA-DRIVEN JOURNEY Notes
19 ACKNOWLEDGMENTS
20 ABOUT THE AUTHOR
21 INDEX
22 END USER LICENSE AGREEMENT
List of Tables
1 Chapter 4Table 4.1 NewVantage Partners' 2021 Executive Survey Participating Companies...
Guide
1 Cover Page
2 Title Page
3 Copyright
4 Fail Fast, Learn Faster
5 Foreword
6 Preface
7 Introduction: Fail Fast, Learn Faster
8 Table of Contents
9 Begin Reading
10 Conclusion: A Data-Driven Journey
11 Acknowledgments
12 About The Author
13 Index
14 Wiley End User License Agreement
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