Data Mining and Data Analytics for Analysing Customer Churn Rate

Sharan Kumar Paratala Rajagopal

doi:10.24018/ejece.2020.4.4.231

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JOURNAL ARTICLE

Data Mining and Data Analytics for Analysing Customer Churn Rate

Sharan Kumar Paratala Rajagopal

Year: 2020 Journal: European Journal of Electrical Engineering and Computer Science Vol: 4 (4)

DOI: 10.24018/ejece.2020.4.4.231

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Abstract

This research paper describes how to determine the various factors impacting the customers churn rate in telecom industry. And what factors impact customer to move from one telecom source to another. Using data analytics and data mining will analyze the factors for churn rate.

Keywords:

Analytics Data science Data analysis Computer science Big data Data mining Business

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0.61

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Topics

Customer churn and segmentation

Social Sciences → Business, Management and Accounting → Marketing

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Data Mining and Data Analytics for Analysing Customer Churn Rate

Abstract

Metrics

Citation History

Topics

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