Using Analytical Crm System To Reduce Churn In The Telecom Sector: A Machine Learning Approach

51 pages ID: CPU2009

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Project Details

DepartmentComputer Science
TypeProject
Pages51
Reference StyleYES
FormatMS Word & PDF
Reference No.CPU2009

Abstract

ABSTRACT Customers are considered to be the most valuable assets of any business, and thus their loyalty is key to profitability as they indulge in repeat purchases and attract their colleagues through word-of-mouth. In competitive markets such as telecommunications, customers have a lot of flexibility due to the variety of service providers available and the introduction of mobile number portability (MNP) thus they can easily switch services and service providers. Customer churn is, therefore, a major problem among telecommunication companies hence their quest to reduce customer churn rate an…

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