A Study on Customer Rentention using Predictive Data mining Techniques

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends  (IJCOT)          
 
© 2014 by IJCOT Journal
Volume - 4 Issue - 5
Year of Publication : 2014
Authors : Dr.V.P.Eswaramurthy , S.Induja
  10.14445/22492593/IJCOT-V12P302

MLA

Dr.V.P.Eswaramurthy , S.Induja. "A Study on Customer Rentention using Predictive Data mining Techniques", International Journal of Computer & organization Trends (IJCOT), V4(5):6-10 Sep - oct 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.

Abstract—The customer is the soul or even essence of the organizational abilities. The age of globalization together with the competitors has totally changed the fundamental idea of merchandising, at the present merchandising is not tied to providing the services to the customer, and however the goal is to actively meet the hearts of the consumers. In the powerful industry circumstances where exactly companies are setting varying techniques now and then, customer retention is a crucial area to ponder upon, as customers usually churn from one organization to another. So prediction of the customer behaviour or even hence taking corrective actions before hand is the need of the hour. Data mining will help service sector like banking, insurance protection, and telecommunication to make critical business decisions. This paper throws light on the underlying technologies and the viewpoint applications of data mining in predicting the churn behaviour of the customers and hence paving way for better Customer Relationship Management.The customer is the soul or even essence of the organizational abilities. The age of globalization together with the competitors has totally changed the fundamental idea of merchandising, at the present merchandising is not tied to providing the services to the customer, and however the goal is to actively meet the hearts of the consumers. In the powerful industry circumstances where exactly companies are setting varying techniques now and then, customer retention is a crucial area to ponder upon, as customers usually churn from one organization to another. So prediction of the customer behaviour or even hence taking corrective actions before hand is the need of the hour. Data mining will help service sector like banking, insurance protection, and telecommunication to make critical business decisions. This paper throws light on the underlying technologies and the viewpoint applications of data mining in predicting the churn behaviour of the customers and hence paving way for better Customer Relationship Management.

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Keywords
Data mining , Churning , CRM , Data Mining techniques.