Handbook of Marketing Analytics
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Handbook of Marketing Analytics

Methods and Applications in Marketing Management, Public Policy, and Litigation Support

Edited by Natalie Mizik and Dominique M. Hanssens

Marketing Science contributes significantly to the development and validation of analytical tools with a wide range of applications in business, public policy and litigation support. The Handbook of Marketing Analytics showcases the analytical methods used in marketing and their high-impact real-life applications. Fourteen chapters provide an overview of specific marketing analytic methods in some technical detail and 22 case studies present thorough examples of the use of each method in marketing management, public policy, and litigation support. All contributing authors are recognized authorities in their area of specialty.
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Chapter 12: Big data analytics

Asim Ansari and Yang Li

Abstract

The field of “Big Data” is vast and rapidly evolving. In this chapter, strict attention is paid to challenges that are associated with making statistical inferences from big data. We characterize big data by the four Vs (volume, velocity, variety and veracity) and discuss the computational challenges in marketing applications using big data. We review stochastic approximation, variational Bayes, and the methods for wide data models.

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