Big data analytics

Asim Ansari; Yang Li

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Handbook of Marketing Analytics

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

Research Handbooks in Business and Management series

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.

Handbook

Published in print:: 30 Mar 2018

ISBN:: 9781784716745

eISBN:: 9781784716752

DOI:: https://doi.org/10.4337/9781784716752

Pages:: c 712

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Chapter 12: Big data analytics

Asim Ansari and Yang Li

Handbook Chapter

Published:: 30 March 2018

Category:: Handbook Chapter

DOI:: https://doi.org/10.4337/9781784716752.00024

Pages:: 280–302 (23 total)

Collection: Business 2018

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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