Customer Relationship Management: Utilizing Data Mining to Enhance Customer Insights

Abstract

Customer Relationship Management (CRM) has become a vital tool for businesses seeking to build long-term relationships with customers. The advent of data mining techniques has provided organizations with opportunities to enhance CRM systems by extracting valuable customer insights. This paper explores the application of data mining in CRM systems, focusing on how various techniques such as classification, clustering, and association rule mining can improve customer insight. Furthermore, the paper examines the impact of these techniques on customer retention, satisfaction, and overall business performance. Through a detailed literature review, analysis of methodologies, and comparison of results from different CRM data mining approaches, this paper highlights the potential of data mining in transforming CRM strategies for businesses.