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
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Customer relationship management (CRM) initiatives have gained much attention in recent years. With ...
Whenever millions of data is being stored in database regularly, data mining is responsible to disco...
Whenever millions of data is being stored in database regularly, data mining is responsible to disco...
In this article we are going to define the overall customer relationship management (CRM) and Data m...
In this article we are going to define the overall customer relationship management (CRM) and Data m...
In recent years many organizations have identified the need to become more customers facing with inc...
Regularly millions of data is being collected and warehoused. These data contains very useful inform...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer Relationship Management has been one of the active areas for data mining applications. The ...
Customer Relationship Management has been one of the active areas for data mining applications. The ...
Abstract---Data Mining is motivated by most important area of research.Data Mining consists of evalu...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Customer relationship management (CRM) initiatives have gained much attention in recent years. With ...
Whenever millions of data is being stored in database regularly, data mining is responsible to disco...
Whenever millions of data is being stored in database regularly, data mining is responsible to disco...
In this article we are going to define the overall customer relationship management (CRM) and Data m...
In this article we are going to define the overall customer relationship management (CRM) and Data m...
In recent years many organizations have identified the need to become more customers facing with inc...
Regularly millions of data is being collected and warehoused. These data contains very useful inform...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer relationship management (CRM) refers to the managerial efforts to technologies and processe...
Customer Relationship Management has been one of the active areas for data mining applications. The ...
Customer Relationship Management has been one of the active areas for data mining applications. The ...
Abstract---Data Mining is motivated by most important area of research.Data Mining consists of evalu...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
The paper presents the Critical success factors for implementing the Customer Relationship Managemen...
Customer relationship management (CRM) initiatives have gained much attention in recent years. With ...