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Author Venkatesan, Rajkumar.

Title Cutting-edge marketing analytics : real world cases and data sets for hands on learning / Rajkumar Venkatesan, Paul Farris, Ronald T. Wilcox. [O'Reilly electronic resource]

Imprint Upper Saddle River, N.J. : Pearson Education, 2014.
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Description 1 online resource (1 volume) : illustrations
Bibliography Includes bibliographical references and index.
Summary Master 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.
Subject Market segmentation.
Revenue management.
Consumer profiling -- Research.
Segmentation du marché.
Rentabilité -- Gestion.
Profil des consommateurs -- Recherche.
Market segmentation
Revenue management
ISBN 9780133552577 (electronic bk.)
0133552578 (electronic bk.)
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