Customer Relationship Management for Product Development Process using Pearson Correlation Coefficient with Data Mining Techniques

Abstract: The Pearson correlation coefficient based on the customer relationship clearly illustrate to the product development process. It developed in an association from the customer relationship management process. The CRM should be implemented to the Pearson correlation algorithm. In an existing system is used to implement for a customer association management in an organization process implement for feature enhancement for 60 % to 70%. The proposed systems followed by an implement the techniques of organization, categorization, cluster, Forecasting, degeneration, chain detection, revelation using data mining concepts of data sets in an organization. In this paper, we develop a Pearson correlation coefficient based data mining in customer relationship management, for mining large datasets in an organization, the results should be perfect(90 % to 95%), which the companies having a large number of datasets, and also the association should satisfy a customer needs.