Normal view MARC view ISBD view

Cutting-edge marketing analytics : real world cases and data sets for hands on learning /

By: Venkatesan, Rajkumar
Title By: Farris, Paul | Wilcox, Ronald T
Material type: BookPublisher: Upper Saddle River, New Jersey : Pearson Education, c2015Description: xix, 300 p. : ill. ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780133552522; 0133552527Subject(s): Marketing -- Management | Marketing research | Marketing research -- Case studies | Market segmentation | Revenue management | Consumer profiling -- ResearchDDC classification: 658.8/02 | 658.83
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
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection
658.802 VE CU (Browse shelf) Checked out 10/19/2020 T0013975
Total holds: 0

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

Powered by Koha