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Enhancing Customer Relationship Management System using Data Classification and Data Mining


Author(s):

Sanket S. Ranaware , Pune Institute of Computer Technology, Dhankawadi, Pune; Dr. G. P. Potdar, Pune Institute of Computer Technology

Keywords:

Customer Relationship management, Data Classification, Decision Tree Classification, Recommendation systems

Abstract:

To be successful in any business, it is necessary to meet the current market conditions and requirements. The competition in any field is growing day by day, hence one has to adopt to the changes to keep growing with the business. It is not only required to attract good number of customers but also retain them over the life cycle of the business. Many organizations, institutions or industries always keep focus on how they can improve their customer support. So there must be any methodology that help such organizations to have their customer for long time. Customer relationship management is term which helps organizations to acquire customers and maintain them. In this paper, educational institutes are considered as a case study. Emphasis is given on building a customer support system, which can be effectively put in use for attracting good number of students. Proposed customer relationship management system assist organizations to establish an effective communication with their prospect student and guide them through the whole admission process. To implement the effective customer relationship management system mobile based recommendation is proposed here. In this dissertation prospect student’s records are basically classified and based on classified records recommendations are provided to user, which will help user to communicate with prospect students.


Other Details:

Manuscript Id :IJSTEV3I1137
Published in :Volume : 3, Issue : 1
Publication Date: 01/08/2016
Page(s): 433-439
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