"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 businesssuccess? 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"--
Explore why — now more than ever — the world is in a race to become data-driven, and how you can learn from examples of data-driven leadership in an Age of Disruption, Big Data, and AI In Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, 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 includes discussions of: 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, Fail Fast, Learn Faster p;is essential reading that delivers an urgent message for the business leaders of today and of the future.