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Management Decision-Making, Big Data and Analytics

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  • 176 pages
  • 7 hours of reading

More about the book

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a 'critical incidents' feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: - Big data - Analytics - Managing emerging technologies and decision-making - Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor's Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

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Management Decision-Making, Big Data and Analytics, David J. Pauleen, Simone Gressel, Nazim Taskin

Language
Released
2020
Binding
(Paperback)
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Title
Management Decision-Making, Big Data and Analytics
Language
English
Released
2020
Format
Paperback
Pages
176
ISBN10
1526492008
ISBN13
9781526492005
Series
Description
Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a 'critical incidents' feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: - Big data - Analytics - Managing emerging technologies and decision-making - Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor's Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.