2024/05/25 by Ankur Agarwal, Agarwal, Ankur, Shashi Prabha +3
Business, Management and Accounting · #Big Data and Business Intelligence #Computers and Society (cs.CY) #Customer churn and segmentation #FOS: Computer and information sciences
paper · pdf · doi:10.48550/arxiv.2407.11976
openalex publication_date 2024/05/25 · openalex created_date 2024/10/25 · openalex updated_date 2026/07/28
This paper explores the application of Exploratory Data Analytics (EDA) in the banking and finance domain, focusing on credit card usage and customer churning. It presents a step-by-step analysis using EDA techniques such as descriptive statistics, data visualization, and correlation analysis. The study examines transaction patterns, credit limits, and usage across merchant categories, providing insights into consumer behavior. It also considers demographic factors like age, gender, and income on usage patterns. Additionally, the report addresses customer churning, analyzing churn rates and factors such as demographics, transaction history, and satisfaction levels. These insights help banking professionals make data-driven decisions, improve marketing strategies, and enhance customer retention, ultimately contributing to profitability.