000			02269nam a22004095i 4500
001			21465970
003			CATC
005			20250929100349.0
008			200311s2020 cau 000 0 eng
010			_a 2020934797
020			_a9781526492005 _q(paperback)
020			_a9781526492012 _q(hardback)
020			_z9781529737387 _q(ebook)
035			_a21465970
040			_aDLC _beng _erda _cComputer Arts & Technological College, Inc.
041			_aEnglish
042			_apcc
082			_2658.405 S588m 2021
100	1		_aGressel, Simone, _eauthor.
245	1	0	_aManagement decision-making, big data and analytics / _cby Simone Gressel; David Pauleen; Nazim Taskin.
263			_a2010
264		1	_aThousand Oaks : _bSAGE Publishing , _c2021.
300			_axvii , 318 pp. : _bill. ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes glossary, references and index.
520			_a"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."
546			_aEnglish.
650			_aDecision making
650			_aData analytics
700	1		_aPauleen, David, _eauthor.
700	1		_aTaskin, Nazim, _eauthor.
906			_a0 _bibc _corignew _d2 _eepcn _f20 _gy-gencatlg
942			_2ddc _cBK _n0
999			_c2467 _d2467