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008 061026s2007 maua b 001 0 eng
010 _a 2006035422
015 _aGBA6A2644
_2bnb
020 _a9781422103326
035 _aocm74649067
040 _aDLC
_beng
_cDLC
_dBAKER
_dUKM
_dBTCTA
_dYDXCP
_dC#P
_dAEU
041 _aEnglish
050 0 0 _aHF5691
_b.D38 2007
100 _aDavenport, Thomas H.
_d1954-
_923221
_eauthor
245 1 0 _aCompeting on analytics
_b: the new science of winning
_c/ Thomas H. Davenport and Jeanne G. Harris.
260 _aBoston, MA :
_bHarvard Business School Press,
_c2007.
300 _axv, 218 pages : illustrations (black and white) ; 25 cm.
504 _aIncludes bibliographical references (pages 187-197) and index.
505 0 _aForeword / by Gary Loveman -- The nature of analytical competition -- What makes an analytical competitor? -- Analytics and business performance -- Competing on analytics with internal processes -- Competing on analytics with external processes -- Building an analytical capability -- A roadmap to enhanced analytical capabilities -- Managing analytical people -- The architecture of business intelligence -- The future of analytical competition.
520 1 _aIn Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data has shifted dramatically. Leading companies are doing more than just collecting and storing information in large quantities. They're now building their competitive strategies around data-driven insights that are, in turn, generating impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy senior leaders and powerful information technology. Why compete on analytics? At a time when companies in many industries offer similar products and use similar technology, distinctive business processes count among the last remaining points of differentiation. Many previous bases for competition — such as geographical advantage or protective regulation — have been eroded by globalization- Proprietary technologies are rapidly copied, and breakthrough innovations in products or services are increasingly difficult to achieve. That leaves three things as the basis for competition: efficient and effective execution, smart decision-making and the ability to wring every last drop of value from business processes — all of which can be gained through sophisticated use of analytics.
650 0 _aData mining
_97979
650 0 _aBusiness intelligence
_97978
653 _aBibliography B2 PBT Principles of Programming
700 _aHarris, Jeanne G.
_923222
_eauthor
942 _2lcc
999 _c3870
_d3870