Abstract—Customer Relationship Management (CRM)
refers to the methodologies and tools that help businesses
manage customer relationships in an organized way. Data
Mining is the process that uses a variety of data analysis and
modeling techniques to discover patterns and relationships in
data that may be used to make accurate predictions. It can
help you to select the right prospects on whom to focus. The
essence of the information technology revolution and, in
particular, the World Wide Web is the opportunity to build
better relationships with customers than has been previously
possible in the offline world. For instance, as part of their
CRM strategy, a business might use a database of customer
information to help construct a customer satisfaction survey,
or decide which new product their customers might be
Index Terms—CRM, LCV, Marketing, Relationship, Data Mining.
F. Gaurav Gupta, Assistant Professor,is with the RIMT-Institute of Engineering & Technology, Punjab, India (e-mail: gaurav_shakti@ yahoo.com).
S. Himanshu Aggarwal, Associate Professor, is with the University College of Engineering, Punjabi University, Patiala, India. (e-mail: firstname.lastname@example.org).
Cite:Gaurav Gupta and Himanshu Aggarwal, "Improving Customer Relationship Management Using Data Mining," International Journal of Machine Learning and Computing vol.2, no. 6, pp. 874-877, 2012.