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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.

By: Contributor(s): Material type: TextTextLanguage: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., 2021Description: xxxi, 239 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119806226 (hardback)
  • 1119806224 (hardback)
Subject(s): Additional physical formats: Online version:: Fail fast, learn fasterDDC classification:
  • 658.400285
LOC classification:
  • HD 57.7 B367f 2021
Contents:
Foreword Thomas H. Davenport Preface Introduction: Fail Fast, Learn Faster 1. A Little History of Big Data 2. Think Different: Becoming Data-Driven 3. Insight and Knowledge: Data, Science, and Facts 4. The State of Data in the Corporate World Today 5. The Great Challenge: Establishing a Data Culture 6. The Rise of the Chief Data Officer 7. Data Responsibility: A Word on Data Ethics 8. Data, Disruption, and Innovation 9. A Glimpse of the Future: Data-Driven AI 10. Data-Driven Leadership: One Company's Odyssey Conclusion: The Data Journey Acknowledgments About the Author Index
Summary: "Fail Fast, Learn Faster presents a broad, historical, and cultural perspective on the evolution of data over three decades and shows how data is being applied to transform businesses and industries. This book tackles one of the most disruptive and central issues facing leading corporations today at a moment when data, analytics, and science are being ignored by some in positions of leadership -- the ability to transform their companies into data-driven organizations with a data-driven culture. The book explores the evolution of data in the context of a changing world, considering technology factors, the rise of consumer-driven services, and changing customer demographics, and considers the broader social and cultural implications of being "data-driven". What is the business value and benefit from investing in capabilities such as Big Data, AI, Digital, and other transformational solutions that have emerged over the course of the past three decades? What does the future look like? More than simply an academic 'how-to', this book takes a critical look at what it means for an organization to be data-driven, communicating the critical need for data, analytics, and science in business in a style that is understandable and easy for business leaders and a non-technical general audience to relate to. The heart of this story is the cultural and human aspects of business transformation that often prevent these efforts from gaining organizational traction. What are the challenges and barriers to achieving business success? What are the opportunities? What are the challenges? Where are the pitfalls? What is at stake? Why do some organizations succeed, where others fail? Fail Fast, Learn Faster takes a long-view and provides a historical perspective in the larger context of change and transformation and how these impact industries and companies"-- Provided by publisher.
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Ciencias Sociales Ciencias Sociales (3er. Piso) HD 57.7 B367f 2021 (Browse shelf(Opens below)) 1 Available 00000190492

Includes index.

Foreword Thomas H. Davenport
Preface
Introduction: Fail Fast, Learn Faster 1. A Little History of Big Data 2. Think Different: Becoming Data-Driven 3. Insight and Knowledge: Data, Science, and Facts 4. The State of Data in the Corporate World Today 5. The Great Challenge: Establishing a Data Culture 6. The Rise of the Chief Data Officer 7. Data Responsibility: A Word on Data Ethics 8. Data, Disruption, and Innovation 9. A Glimpse of the Future: Data-Driven AI 10. Data-Driven Leadership: One Company's Odyssey
Conclusion: The Data Journey
Acknowledgments
About the Author
Index

"Fail Fast, Learn Faster presents a broad, historical, and cultural perspective on the evolution of data over three decades and shows how data is being applied to transform businesses and industries. This book tackles one of the most disruptive and central issues facing leading corporations today at a moment when data, analytics, and science are being ignored by some in positions of leadership -- the ability to transform their companies into data-driven organizations with a data-driven culture. The book explores the evolution of data in the context of a changing world, considering technology factors, the rise of consumer-driven services, and changing customer demographics, and considers the broader social and cultural implications of being "data-driven". What is the business value and benefit from investing in capabilities such as Big Data, AI, Digital, and other transformational solutions that have emerged over the course of the past three decades? What does the future look like? More than simply an academic 'how-to', this book takes a critical look at what it means for an organization to be data-driven, communicating the critical need for data, analytics, and science in business in a style that is understandable and easy for business leaders and a non-technical general audience to relate to. The heart of this story is the cultural and human aspects of business transformation that often prevent these efforts from gaining organizational traction. What are the challenges and barriers to achieving business success? What are the opportunities? What are the challenges? Where are the pitfalls? What is at stake? Why do some organizations succeed, where others fail? Fail Fast, Learn Faster takes a long-view and provides a historical perspective in the larger context of change and transformation and how these impact industries and companies"-- Provided by publisher.

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