Open AccessAplicação de Mineração de Dados para Detecção de Potenciais Churns em Empresa do Segmento SAAS
Author(s) -
Leonardo de Melo Lucas de Lucas Melo,
Rafael Ballottin Martins
Publication year - 2021
Publication title -
anais do xii computer on the beach - cotb '21
Language(s) - English
Resource type - Conference proceedings
DOI - 10.14210/cotb.v12.p512-514
Subject(s) - commercialization , software as a service , computer science , trace (psycholinguistics) , business , software , marketing , software development , programming language , linguistics , philosophy
This paper tackles the problem of companies that offersubscription services, plans or any other recurring method ofpayment. In this commercialization model, it is important to keepthe churn rate low b ut to d efine strategies for reduce churn rate itis needed to identify what are the main reasons for losingcustomers . The application of data mining techniques may assistto find out patterns that can trace the most likely customers tobecome churns. Through this research, using the data miningprocess, it was possible to identify that, among other factors, thenon utilization of the main system modules and the high defaultrates corroborates for customers to become churn.