04033cam a22004458i 450000100090000000300080000900500170001700700030003400800410003701000170007802000290009502000260012402000260015002000260017603500130020204000230021504100080023804200080024605000240025408200150027810000170029324501560031026400600046630000310052633600260055733700280058333800270061150000200063850505860065852018960124465000430314065000450318365000410322865000440326965000310331365000380334465000290338270000610341177601150347222066983BJBSDDR20250825170307.0ta210604s2021 nju 001 0 eng  a 2021021562 a9781119806226 (hardback) a1119806224 (hardback) z9781119806240q(ePDF) z9781119806233q(ePub) a22066983 aDLCbengerdacDLC aeng apcc14aHD 57.7bB367f 202100a658.4002851 aBean, Randy 10aFail fast, learn faster :blessons in data-driven leadership in an age of disruption, big data, and AI /cRandy Bean ; foreword by Thomas H. Davenport. 1aHoboken, New Jersey :bJohn Wiley & Sons, Inc., c2021. axxxi, 239 pages ; c24 cm. atextbtxt2rdacontent aunmediatedbn2rdamedia avolumebnc2rdacarrier aIncludes index.0 aForeword 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 a"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"--cProvided by publisher. 0aLeadershipxTechnological innovations. 4aLiderazgo xInnovaciones tecnológicas  0aBusinessxTechnological innovations. 4aNegocios xInnovaciones tecnológicas  0aBusinessxData processing. 4aNegocios xProcesamiento de datos 0aArtificial intelligence.1 aDavenport, Thomas H. q(Thomas Hayes), d1954-eforeword08iOnline version:aBean, Randy.tFail fast, learn fasterdHoboken : Wiley, 2021z9781119806240w(DLC) 2021021563