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Customer Relationship Management using Deep Learning in Data Mining: A Review

Author(s):

Sandeep Kaur , CTIEMT; Prince Verma, CT GROUP OF INSTITUDE

Keywords:

Data Mining, Customer-Relationship Management (CRM), Churn Prediction, Telecommunications

Abstract

Data mining is the approach to discover the skills or hidden pattern form huge databases. Customer -relationships administration procedures carried out to manage a company’s interplay with buyers and possibilities. CRM is an process to manage a company’s interaction with present and competencies patrons, it uses knowledge evaluation about purchaser’s history with a manufacturer to support business relationships with patrons, notably specializing in consumer retention and finally using revenue development. Churn is outlined relatively differently through every organization or product. Almost always, the purchasers who discontinue utilising a services or products for a given period of time are known as churners. One of the crucial key purposes of churn prediction is to discover what reasons expand churn chance. The purpose of churn administration is to keep present customers so long as the corporation is alive out there. Additionally classify consumers into churner and non-churner. Income comes from the construction and keeping long-term relationships with the consumers. A greater churn management can aid customer relationship management (CRM) in determination making and opening strong purchaser retention campaigns.

Other Details

Paper ID: IJSRDV7I31129
Published in: Volume : 7, Issue : 3
Publication Date: 01/06/2019
Page(s): 1552-1555

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