Cutting-edge marketing analytics : real world cases and data sets for hands on learning / Rajkumar Venkatesan, Paul Farris, Ronald T. Wilcox
Material type:
- text
- unmediated
- volume
- 9780133552522
- 0133552527
- 658.8/02 23
- 658.83 23
Item type | Current library | Call number | Status | Date due | Barcode | |
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REGULAR | University of Wollongong in Dubai Main Collection | 658.802 VE CU (Browse shelf(Opens below)) | Checked out | 19/10/2020 | T0013975 |
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658.802 ST MA The marketing pathfinder : | 658.802 TA EV Everyone's a critic : | 658.802 TE CO Communication excellence : | 658.802 VE CU Cutting-edge marketing analytics : | 658.802 WA DE Developing your integrated marketing communication plan / | 658.802 WA HO How to prepare a promotional plan / | 658.802 WA HO How to prepare a promotional plan / |
Includes bibliographical references and index.
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
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