Customer relationship management classification using data mining techniques

Customer Relationship Management possess Business Intelligence by incorporating information acquisition, information storage, and decision support functions to provide customized customer service. It enables customer representatives to analyze and classify data to address customer needs in order to promote greater customer satisfaction and retention, but in reality we have learned CRM classification models are outdated, substandard because of noisy and unbalanced data set. In this paper, a new feature selection method is proposed to resolve such CRM data set with relevant features by incorporating an efficient data mining techniques to improve data quality and feature relevancy after preprocessing. Finally it enhances the performance of classification.