Data Mining for CRM

Abstract

The growth of existing customers' database made by the availability of a large volume of customer data and modern information technologies make the use of data mining tools both a necessity and an opportunity. Several research studies have drawn attention to the interest of applying knowledge discovery in data (KDD) and data mining methods to extract customer knowledge. These methods would improve the customer knowledge management (CKM) process and equip decision-makers with better knowledge about their customers to better serve them. The purpose of this paper is to show customer relationship (CRM) process steps and related objectives with appropriate data mining methods and techniques for better marketing decision making.