Data-Driven Decision-Making for Business

by: Claus Grand Bang (Author)

Publisher:

Edition: 1st

Publication Date: 2024/8/22

Language: English

Print Length: 308 pages

ISBN-10: 1032601493

ISBN-13: 9781032601496

Book Description

Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher retus for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, leaing how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data.Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear leaing outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums.Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, tuing the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.

About the Author

Research shows that companies that employ data-driven decision-making are more productive, have a higher market value, and deliver higher retus for their shareholders. In this book, the reader will discover the history, theory, and practice of data-driven decision-making, leaing how organizations and individual managers alike can utilize its methods to avoid cognitive biases and improve confidence in their decisions. It argues that value does not come from data, but from acting on data.Throughout the book, the reader will examine how to convert data to value through data-driven decision-making, as well as how to create a strong foundation for such decision-making within organizations. Covering topics such as strategy, culture, analysis, and ethics, the text uses a collection of diverse and up-to-date case studies to convey insights which can be developed into future action. Simultaneously, the text works to bridge the gap between data specialists and businesspeople. Clear leaing outcomes and chapter summaries ensure that key points are highlighted, enabling lecturers to easily align the text to their curriculums.Data-Driven Decision-Making for Business provides important reading for undergraduate and postgraduate students of business and data analytics programs, as well as wider MBA classes. Chapters can also be used on a standalone basis, tuing the book into a key reference work for students graduating into practitioners. The book is supported by online resources, including PowerPoint slides for each chapter.