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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15438

Title: Data Mining Strategies and Techniques for CRM System
Authors: Abdullah S. Al-Mudimigh
Zahid Ullah
Farrukh Saleem
Keywords: Customer Relationship Management, Critical Success Factor of CRM, Data Mining
Issue Date: 2009
Publisher: IEEE
Abstract: Whenever millions of data is being stored in database regularly, data mining is responsible to discover the hidden knowledge, rules and patterns from it. Data mining is going to be involved in every organization for extracting extra information which are not visible for everyone. Organizations always planning to get useful information from it. Though, study on customer relationship management (CRM) is reaching more practical and attractive factor for the growth of every organization in the same way, discovery the hidden gold is also supporting to achieve the goal and for the success of organization. The main critical success factor for any (CRM) includes, Marketing Management, Customer Support Management, Sales Management and Facilities Management, etc. In this paper we proposed, analyzed and validated that data mining is also a major success factor in the success of CRM. We first presented the CRM model and then explained the main role of each feature, then we add data mining feature in the CRM model. Further more, we applied data mining strategies and techniques for the generation of new rules and patterns. We talk about that within the boundaries of CRM strategies the data mining tool also play an affective and valuable role for the establishment and growth of the organization.
URI: http://hdl.handle.net/123456789/15438
Appears in Collections:College of Computer and Information Sciences

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