Customer churn analysis : A case study on the telecommunication industry of Thailand

2017 ◽  
Author(s):  
Paweena Wanchai
Keyword(s):  
Telecommunication Industry ◽  
Customer Churn ◽  
Churn Analysis

The Application of Data Mining Technology in the Customer Churn Prewarning

2014 ◽  
Vol 644-650 ◽  
pp. 2198-2201
Author(s):  
Li Chang Zhen ◽  
Xin Gao ◽  
Yi Ming Wang ◽  
Yong Chun Gao
Keyword(s):  
Data Mining ◽  
Telecommunication Industry ◽  
Mining Technology ◽  
Tree Algorithm ◽  
Data Mining Techniques ◽  
Customer Churn ◽  
Meaningful Information ◽  
Churn Analysis

With the further reform and market division in the telecommunication industry, there are more and more choices for customers to select telecom products and operators, which lead to the fiercer competition for customers between telecom operators. As the technical method to identify customers churn, the data mining can help the telecom competitors to analyze some seemingly unrelated data into meaningful information. On the basis of the research on the vital problems in the telecom companies, this paper explains how to apply data mining techniques to customer churn analysis, proposes the specific procedures and technology solutions to prevent the customer churn and builds the models of the data mining by analyzing the related algorithm. Finally, based on the systematical analysis on theory and method to data mining, the paper draws the conclusion that the customers churn listing and tree algorithm can solve the practical problems of the customer churn in telecommunication industry.

scholarly journals Case Studies in Applying Data Mining for Churn Analysis

2017 ◽  
Vol 5 (2) ◽  
pp. 22-33
Author(s):  
Susan Lomax ◽  
Sunil Vadera
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Case Studies ◽  
Decision Tree Learning ◽  
Customer Churn ◽  
Use Of Data ◽  
Churn Analysis ◽  
First Case ◽  
Product Comparison

The advent of price and product comparison sites now makes it even more important to retain customers and identify those that might be at risk of leaving. The use of data mining methods has been widely advocated for predicting customer churn. This paper presents two case studies that utilize decision tree learning methods to develop models for predicting churn for a software company. The first case study aims to predict churn for organizations which currently have an ongoing project, to determine if organizations are likely to continue with other projects. While the second case study presents a more traditional example, where the aim is to predict organizations likely to cease being a subscriber to a service. The case studies include presentation of the accuracy of the models using a standard methodology as well as comparing the results with what happened in practice. Both case studies show the significant savings that can be made, plus potential increase in revenue by using decision tree learning for churn analysis.

scholarly journals Political expediency vrs [sic] policy directive: a case study of telecommunications in Jamaica and the move towards an integrated regulator

2021 ◽  
Author(s):  
Renee Robinson ◽  
David Skinner
Keyword(s):  
Communication Technology ◽  
Information Communication Technology ◽  
Regulatory Reform ◽  
Public Utilities ◽  
Telecommunication Industry ◽  
Information Communication ◽  
Political Expediency ◽  
Media Services ◽  
Water Gas

This paper considers regulatory reform in Jamaica's telecommunication industry. "Currently, Jamaican telecommunication operates under a multi-sector regulator, the Office of Utility Regulation (OUR), which has oversight of all public utilities including telecommunications, water, gas, and electricity. The reform under consideration in Jamaica is the transition towards a single-sector independent regulator, referred to throughout this research as the integrated regulator, with monitoring responsibility for converged media services, including broadcasting and Information Communication Technology (ICT)"--From the introduction, page 7.

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