DocumentCode :
3025733
Title :
Segmentation Study on Enterprise Customers Based on Data Mining Technology
Author :
Lai, Xin-An
Author_Institution :
Sch. of Bus., Wenzhou Univ., Wenzhou, China
fYear :
2009
fDate :
25-26 April 2009
Firstpage :
247
Lastpage :
250
Abstract :
In the current context of fierce market competition, customer relationship management (CRM) has become the main means for enterprises to gain competitive advantage and an important option for enterprises to make strategic planning. As a core concept of CRM, customer segmentation can effectively lower the marketing costs of a company and help it achieve more visible and profitable market penetration. This paper begins by introducing the definition of data mining and data mining methods used in CRM; it then proceeds to analyze the advantage of customer segmentation based on data mining and establish the models for customer segmentation; in the end this paper probes into the application of clustering analysis technology of data mining in customer segmentation.
Keywords :
customer relationship management; data mining; marketing data processing; strategic planning; clustering analysis technology; customer relationship management; customer segmentation; data mining technology; enterprise customers; fierce market competition; market penetration; marketing costs; strategic planning; Biological neural networks; Customer relationship management; Data analysis; Data mining; Databases; Decision trees; Probes; Resource management; Strategic planning; Testing; customer relationship management; customer segmentation; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database Technology and Applications, 2009 First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3604-0
Type :
conf
DOI :
10.1109/DBTA.2009.96
Filename :
5207768
Link To Document :
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