scholarly journals Customer Relationship Management in the Manufacturing Industry using Data Mining Techniques

2017 ◽  
Vol 7 (6) ◽  
pp. 63-70
Author(s):  
R.Manikandan et al., R.Manikandan et al., ◽  
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Manufacturing Industry ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Mining Techniques ◽  
Using Data

Applying Data Mining Techniques to WIFLY in Customer Relationship Management

2010 ◽  
Vol 9 (3) ◽  
pp. 488-493 ◽  
Author(s):  
Yi-Hsin Wang ◽  
Ding-An Chiang ◽  
Sheng-Wei Lai ◽  
Cheng-Jung Lin
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Customer Relationship ◽  
Data Mining Techniques

scholarly journals Data Mining For Customer Relationship Management

2011 ◽  
Vol 1 (6) ◽  
Author(s):  
Savitha S. Kadiyala ◽  
Alok Srivastava
Keyword(s):  
Data Mining ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Integrated Model ◽  
Customer Relationship ◽  
New Model ◽  
Data Mining Techniques ◽  
Existing Data

Data mining has various applications for customer relationship management. In this article, we introduce a framework for identifying appropriate data mining techniques for various CRM activities. This article attempts to integrate the data mining and CRM models and to propose a new model of Data mining for CRM. The new model specifies which types of data mining processes are suitable for which stages/processes of CRM. In order to develop an integrated model it is important to understand the existing Data mining and CRM models. Hence the article discusses some of the existing data mining and CRM models and finally proposes an integrated model of data mining for CRM.

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