000			02650cam a22003015a 4500
001			18008812
005			20160210144128.0
008			140115t2014 flua frb 001 0 eng d
020			_a9781466568709 (hardback)
040			_aDLC _beng _cDLC _dEG-ScBUE _dEG-ScBUE
082	0	4	_a005.74 _bKUD _222
100	1		_aKudyba, Stephan, _d1963- _939290
245	1	0	_aBig data, mining, and analytics : _bcomponents of strategic decision making / _cStephan Kudyba ; foreword by Thomas H. Davenport.
260			_aBoca Raton : _bCRC Press / Taylor & Francis Group, _cc.2014.
300			_axv, 305 p. : _bill. (some color) ; _c25 cm.
500			_aIndex : p. 289-305.
504			_aIncludes bibliographical references.
520			_a"Foreword Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the "small data" era (including Capital One bank, Progressive Insurance, and Marriott hotels) moved out ahead of their competitors and built a sizable competitive edge, the time is now for firms to seize the big data opportunity. As this book describes, the potential of big data is enabled by ubiquitous computing and data gathering devices; sensors and microprocessors will soon be everywhere. Virtually every mechanical or electronic device can leave a trail that describes its performance, location, or state. These devices, and the people who use them, communicate through the Internet--which leads to another vast data source. When all these bits are combined with those from other media--wireless and wired telephony, cable, satellite, and so forth--the future of data appears even bigger. The availability of all this data means that virtually every business or organizational activity can be viewed as a big data problem or initiative. Manufacturing, in which most machines already have one or more microprocessors, is increasingly a big data environment. Consumer marketing, with myriad customer touchpoints and clickstreams, is already a big data problem. Google has even described its self-driving car as a big data project. Big data is undeniably a big deal, but it needs to be put in context"--
650		0	_aStrategic planning _xData processing. _2BUEsh
650		7	_aData mining. _2BUEsh _927695
650		7	_aBig data. _2BUEsh _936502
650		0	_aWebometrics. _2BUEsh
650		0	_aData loggers. _2BUEsh
651			_2BUEsh
653			_bCOMSCI _cJuly2015 _cFebruary2016
700	1		_aDavenport, Thomas H. _eauthor of introduction, etc.
942			_2ddc
999			_c20307 _d20279