A Study on Customer Analytics Initiative (WCAI) and its Impact on the Brand of Wharton Business School

Author:

Kumar Sachin1,K. Krishna Prasad2,Aithal P. S.3

Affiliation:

1. Dept. of Computer Science, Noida Institute of Engg. & Tech., Greater Noida, U.P., India

2. College of Computer & Information Science, Srinivas University, Mangalore, India

3. College of Business Management & Commerce, Srinivas University, Mangalore, India

Abstract

The Wharton Customer Analytics Initiative (WCAI) is the leading academic research center that focuses on the development and application of customer analytics methods. WCAI is the leading academic research center in the world that focuses on the development and application of customer analytics methods. The innovative Research Opportunity Platform and the "crowd sourcing" approach to R&D, WCAI helps academic researchers from around the world understand how to effectively monetize consumer data collected by developing and applying new predictive models to businesses. The authors couple their work with companies and researchers around the world with a variety of co-curricular student programs that facilitate talent development and recruitment. Started with a generous donation from Wharton alumnus Art Bilger and his wife, Dahlia, and with an executive relationship with Omnicom Group, Inc. WCAI has a significant impact on data-driven corporate decision-making processes and on the dissemination of vital information to managers, students, and policy-makers. Customer Analytics refers to the collection, handling, evaluation, and systematic exploitation of a company's granular data regarding the behaviours of its customers. In this paper, we analyzed the features and impact of the Wharton Customer Analytics Initiative (WCAI) on different stakeholders.

Publisher

Srinivas University

Subject

General Medicine

Reference23 articles.

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3. Bhandari, G., Bussiere, D., & Voyer, P. (2018). How loud is the Scream of a Clickstream? Insights from Big Data Analysis. Twenty-fourth Americas Conference on Information Systems, New Orleans, 2018, 1-5.

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