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ANALYZING DATA MINING TECHNIQUES FOR BETTER CUSTOMER RELATIONSHIP MANAGEMENT

ANALYZING DATA MINING TECHNIQUES FOR BETTER CUSTOMER RELATIONSHIP MANAGEMENT

Author: MANU CHOPRA*, ,

*Research Scholar, Singhania Universiy, Pacheri Bari, Jhunjhunu, Rajasthan.

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Abstract

 

  In the field of CRM, data mining is turning from specialized technology into mainstream practice. Analytical CRM has proven to be the killer application for data mining; probably the most important challenge for unleashing the power of data mining technology is seamless integration with business processes. It might be interesting to predict customer behavior, but only when one manages to act upon these insights does this knowledge become commercially relevant. Prediction and analysis is important, but only deployment will make this useful. The main goal of the paper is to illustrate the importance of the optimization methods used in data mining process, as well as the specific predictive models and how they work in this field. Also, the customer relationship management systems have been developed lately, offering new opportunities for a strong profitable relation between a business and clients.

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