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020 _a9781032601533
040 _aMAIN
082 _a658.4
_bBAN-25
100 _aBang, Claus Grand
245 _aData-driven decision-making for business / Claus Grand Bang.
260 _aLondon ; New York :
_bRoutledge, Taylor & Francis Group,
_c2025.
300 _axiv, 308 pages ; 25 cm
500 _aSummary "Research shows that companies that employ data-driven decision-making are more productive, have a higher market value and deliver higher returns for their shareholders. In this book, the reader will discover the history, theory and practice of data-driven decision-making, learning how organisations and individual managers alike can utilise 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 organisations. 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 learning 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, turning 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"-- Provided by publisher.
650 _aDecision making--Statistical methods.
650 _aDecision making--Data processing.
650 _aBig data.
942 _cBK
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