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Management decision-making, big data and analytics / by Simone Gressel; David Pauleen; Nazim Taskin.

By: Gressel, Simone [author.]Contributor(s): Pauleen, David [author.] | Taskin, Nazim [author.]Material type: TextTextLanguage: English Publisher: Thousand Oaks : SAGE Publishing , 2021Description: xvii , 318 pp. : ill. ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781526492005; 9781526492012Subject(s): Decision making | Data analyticsDDC classification: Summary: "This exciting new textbook explores the ways in which big data and business analytics influence management decision-making. Both accessible and concise, this text 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 'Consider This' feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: 1) big data; 2) analytics; 3) managing emerging technologies and decision-making; and 4) 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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Item type Current library Call number Status Date due Barcode
Books Books CAT College, Inc. - ANNEX 2 Library
Circulation Section
658.405 S588m 2021 (Browse shelf (Opens below)) Available CL2897

Includes glossary, references and index.

"This exciting new textbook explores the ways in which big data and business analytics influence management decision-making. Both accessible and concise, this text 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 'Consider This' feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: 1) big data; 2) analytics; 3) managing emerging technologies and decision-making; and 4) 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."

English.

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