Data-driven decision-making for business

"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 organisa...

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Bibliographic Details
Main Author: Bang, Claus Grand, (Author)
Format: eBook
Language: English
Published: Abingdon, Oxon ; New York, NY : Routledge, 2025.
Subjects:
Decision making > Statistical methods.
Decision making > Data processing.
Big data.
elektronické knihy
electronic books
ISBN: 1003457789
9781040103302
1040103308
9781040103333
1040103332
9781003457787
9781032601533
9781032601496
Physical Description: 1 online resource

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Table of contents

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040 |a OCoLC-P  |b eng  |e rda  |c OCoLC-P 
020 |a 1003457789 
020 |a 9781040103302  |q (electronic bk. : PDF) 
020 |a 1040103308  |q (electronic bk. : PDF) 
020 |a 9781040103333  |q (electronic bk. : EPUB) 
020 |a 1040103332  |q (electronic bk. : EPUB) 
020 |a 9781003457787  |q (electronic bk.) 
020 |z 9781032601533  |q (hardback) 
020 |z 9781032601496  |q (paperback) 
024 7 |a 10.4324/9781003457787  |2 doi 
035 |a (OCoLC)1441723066 
035 |a (OCoLC-P)1441723066 
100 1 |a Bang, Claus Grand,  |e author. 
245 1 0 |a Data-driven decision-making for business /  |c Claus Grand Bang. 
264 1 |a Abingdon, Oxon ;  |a New York, NY :  |b Routledge,  |c 2025. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a "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"--  |c Provided by publisher. 
588 |a OCLC-licensed vendor bibliographic record. 
650 0 |a Decision making  |x Statistical methods. 
650 0 |a Decision making  |x Data processing. 
650 0 |a Big data. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://www.taylorfrancis.com/books/9781003457787  |y Full text 

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