Programme
HDIP in Data Analytics for Business
Abstract
Customer Churn is a critical challenge faced by businesses across industries, especially in the digital market. Many companies struggle to predict customer churn accurately and have difficulties in carrying out effective retention strategies. Key challenges include ineffective traditional methods, lack of insights into impact of different services, generalized retention strategies, and the need to have cost-effective retention strategies. This project aims to predict customer churn using machine learning and identify the impact of key services offered by a telecommunication company.
Date of Award
2025
Full Publication Date
2025
Access Rights
open access
Document Type
Capstone Project
Resource Type
thesis
Recommended Citation
Saung Lwin, S.
(2025) Predicting Customer Churn and Enhancing Retention Strategies Through Machine Learning. CCT College Dublin.
DOI: https://doi.org/10.63227/652.299.74