Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI

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.