The Role of Predictive Analytics in Enhancing CRM DecisionMaking

Authors

  • Anurag Gupta M. Sc. (Chemistry) B. Ed. TGT (Science) Goverment Senior Secondary School, Tehsil Camp, Panipat (132103) ag4040115@gmail.com Author

Keywords:

Predictive Analytics, CRM, Customer Insights, Data-Driven, Decision-Making, Customer Retention, Machine Learning, Big Data, Author Name, Scopus, Springer, Journal Name, Wissira, Journal Short Form, Wissira Press, Wissira Research Lab, Research Gate, SSRN, ISSN, Academia, UGC Care, PubMed, WOS

Abstract

Predictive analytics has revolutionized decision-making in Customer Relationship Management (CRM) by enabling organizations to anticipate customer behaviors, personalize interactions, and optimize engagement strategies. This study explores how predictive analytics tools integrate with CRM systems to enhance customer insights, predict churn, and improve customer lifetime value. Leveraging case studies and real-world applications, it highlights the methodologies employed, outcomes achieved, and potential challenges. The findings underscore the transformative potential of predictive analytics in delivering data-driven, strategic CRM decisions. 

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Published

2025-01-07

Issue

Vol. 2 No. 1 (2025): Jan-Mar 2025

Section

Articles

How to Cite

The Role of Predictive Analytics in Enhancing CRM DecisionMaking . (2025). International Journal of Engineering Research in Big Data Systems, 2(1), Jan (17-22). https://ijerbds.org/index.php/ijerbds/article/view/25