000 02928cam a2200361 i 4500
001 18008812
005 20220303114826.0
008 140115s2014 flua b 001 0 eng
020 _a9781138494206 (pbk.)
040 _aDLC
_beng
_cDLC
_erda
_dDLC
042 _apcc
082 0 0 _a658.4012 KUD
100 _aKudyba, Stephan
245 0 0 _aBig data, mining, and analytics: components of strategic decision making /
_cStephan Kudyba ; foreword by Thomas H. Davenport.
260 _aBoca Raton :London
_bTaylor & Francis,; CRC Press
_c[2014]
300 _axv, 305 pages :
_billustrations (some color) ;
_c22 cm
500 _aTBH SINV00482/218 Rs.1295/-
504 _aIncludes bibliographical references and index.
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"--
_cProvided by publisher.
650 0 _aStrategic planning
_xData processing.
650 0 _aData mining.
650 0 _aBig data.
650 0 _aBusiness planning
650 0 _aWebometrics.
650 0 _aData loggers.
650 7 _aCOMPUTERS / Database Management / General.
_2bisacsh
650 7 _aCOMPUTERS / Database Management / Data Mining.
650 7 _aCOMPUTERS / Information Technology.
700 1 _aKudyba, Stephan,
_d1963-
856 4 2 _3Cover image
_uhttp://images.tandf.co.uk/common/jackets/websmall/978146656/9781466568709.jpg
906 _a7
_bcbc
_corignew
_d1
_eecip
_f20
_gy-gencatlg
942 _2ddc
_cBK
999 _c104924
_d104924