Abdur Rahman; M. N. A. Khan

An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability

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Author(s)

Abdur Rahman ¹ M. N. A. Khan ¹

1. Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan

* Corresponding author.

DOI: https://doi.org/10.5815/ijeme.2017.02.04

Received: 10 Nov. 2016 / Revised: 16 Dec. 2016 / Accepted: 6 Feb. 2017 / Published: 8 Mar. 2017

Index Terms

Business Intelligence, Customer Profitability, Customer Relationship Management, Data Mining, Machine Learning

Abstract

Customer Relationship Management (CRM) system is used to manage company relations with the existing and prospect customers. Data mining is used in organization for decision making and forecasting of prospective customers. We have studied recent literature related to use of data mining techniques for CRM. Based on review of the contemporary literature, we analyzed different data mining techniques employed in different types of business, corporate sectors and organizations. We illustrated a critical review table which provides the problem addressed, proposed techniques, significance, limitations and suggested possible improvements for each proposed techniques review during this study. The critical review of the data mining techniques which are being used for CRM is provided in this paper.

Cite This Paper

Abdur Rahman, M.N.A. Khan,"An Assessment of Data Mining Based CRM Techniques for Enhancing Profitability", International Journal of Education and Management Engineering(IJEME), Vol.7, No.2, pp.30-40, 2017. DOI: 10.5815/ijeme.2017.02.04

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