DocumentCode
260704
Title
Data mining techniques for CRM
Author
Senkamalavalli, R. ; Bhuvaneshwari, T.
Author_Institution
CSE Dept., SCSVMV Univ., Kanchipuram, India
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
3
Abstract
The way in which companies interact with their customers has changed dramatically over the past few years. A customer´s containing business is no longer guaranteed. As a result, companies have found that they need to understand their customers better, and to quickly respond to their wants and needs. In addition, the time frame in which these responses need to be made has been shrinking. It is no longer possible to wait until the signs of customer dissatisfaction are obvious before action must be taken. To succeed, companies must be proactive and anticipate what a customer desires. In this paper we are going to discuss the Data Mining techniques used in Customer Relationship Management.
Keywords
customer satisfaction; data mining; CRM; customer desires; customer dissatisfaction; customer relationship management; data mining techniques; Companies; Customer relationship management; Data mining; Data models; Data visualization; Databases; CRM; Data Mining Techniques;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7033776
Filename
7033776
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