Customer Relationship Management (CRM) is providing a novel approach for managing the relationships between a corporation and its customers towards maximal profitability and sustainability. Data mining and data warehouse are the useful information technologies, which provide powerful means for extracting and utilizing the business information from historical data resources and runtime data flows. This paper reviews the objectives, functionalities, and development trends of CRM, discusses the architecture, data model and development methodologies of CRM systems based on data warehouse and data mining, then outlines the applications of integrated CRM systems in decision making, including business administration, marketing, customer service, customer management, and credit evaluation. Eventually, it describes some problems and challenges for further research.
[1]
Dirk Van den Poel,et al.
Predicting customer retention and profitability by using random forests and regression forests techniques
,
2005,
Expert Syst. Appl..
[2]
Shamsul Chowdhury,et al.
Best practices in data warehousing to support business initiatives and needs
,
2004,
37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.
[3]
Alan Robert Earls.
Integrating ERP can overcome CRM limits
,
2002
.
[4]
Robert Groth,et al.
Data Mining: Building Competitive Advantage
,
1999
.
[5]
Alex Berson,et al.
Building Data Mining Applications for CRM
,
1999
.
[6]
Nordine Melab,et al.
Data Mining: A Key Contribution to E-business
,
2001
.