Perfil de clientes inadimplentes : análise em uma empresa de prestação de serviços de internet de Aracaju/SE

Abstract

This Undergraduate Thesis aims to analyze the profile of paying and non-paying customers of an internet service provider in Aracaju/SE. The research adopts a quantitative and descriptive approach, using data extracted from the company's Data Lake (a centralized repository where large volumes of raw data are stored and organized for further analysis) for the period from January to December 2022. Factors such as age, gender, subscription value, payment due date, and customer location were analyzed. The analysis was conducted using statistical techniques, such as Student's t-test, Pearson correlation, and Chi-square test, implemented in the R Studio software. These tests confirmed the existence of significant correlations between variables such as age and subscription value in relation to customers' payment status. The results revealed that younger customers and those with higher subscription values tend to exhibit higher delinquency rates. On the other hand, older customers and those paying higher condominium fees showed a slight tendency to pay their bills in advance. The research contributes to the development of more effective financial management strategies and delinquency prevention.