000 02899cam a22004215i 4500
008 140402t20152015njua b 001 0 eng d
010 _a 2014937240
020 _a9780133552522
020 _a0133552527
035 _a(OCoLC)ocn861210107
040 _aBTCTA
_beng
_cBTCTA
_erda
_dBDX
_dYDXCP
_dOCLCO
_dOQX
_dDLC
042 _alccopycat
082 0 4 _a658.8/02
_223
082 0 4 _a658.83
_223
097 0 0 _aHF5415.127
_b.V46 2015
100 1 _aVenkatesan, Rajkumar
245 1 0 _aCutting-edge marketing analytics :
_breal world cases and data sets for hands on learning /
_cRajkumar Venkatesan, Paul Farris, Ronald T. Wilcox
264 1 _aUpper Saddle River, New Jersey :
_bPearson Education,
_cc2015.
300 _axix, 300 p. :
_bill. ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
650 0 _aMarketing
_xManagement
650 0 _aMarketing research
650 0 _aMarketing research
_vCase studies
650 0 _aMarket segmentation
650 0 _aRevenue management
650 0 _aConsumer profiling
_xResearch
700 1 _aFarris, Paul
700 1 _aWilcox, Ronald T.
035 _a18099345
520 _aMaster practical strategic marketing analysis through real-life case studies and hands-on examples. In Cutting Edge Marketing Analytics , three pioneering experts integrate all three core areas of marketing analytics: statistical analysis, experiments, and managerial intuition. They fully detail a best-practice marketing analytics methodology, augmenting it with case studies that illustrate the quantitative and data analysis tools you'll need to allocate resources, define optimal marketing mixes; perform effective analysis of customers and digital marketing campaigns, and create high-value dashboards and metrics. For each marketing problem, the authors help you: Identify the right data and analytics techniques Conduct the analysis and obtain insights from it Outline what-if scenarios and define optimal solutions Connect your insights to strategic decision-making Each chapter contains technical notes, statistical knowledge, case studies, and real data you can use to perform the analysis yourself. As you proceed, you'll gain an in-depth understanding of: The real value of marketing analytics How to integrate quantitative analysis with managerial sensibility How to apply linear regression, logistic regression, cluster analysis, and Anova models The crucial role of careful experimental design For all marketing professionals specializing in marketing analytics and/or business intelligence; and for students and faculty in all graduate-level business courses covering Marketing Analytics, Marketing Effectiveness, or Marketing Metrics
005 20170126100535.0
001 58161
003 UOWD
942 _cREGULAR
999 _c24755
_d24755