DocumentCode :
2324306
Title :
Customer profiling for business advantage using an Indian bank data
Author :
Vaidya, Alka ; Diwakar, Hemalatha
Author_Institution :
Nat. Inst. of Bank Manage., Pune
fYear :
2008
fDate :
13-15 May 2008
Firstpage :
578
Lastpage :
583
Abstract :
The banks in India are inducting technology based banking solutions such as self- service channels and centralized banking solutions at all their branches. They are constantly on the lookout for using them to enhance their business benefits such as, right product promotion to right kind of customers, optimum utilization of self-service channels, reduced visits to branches for mundane cash transactions and so on. As customer profiling is an important prerequisite for such initiatives, a customer profiling system specifically developed for Indian banks using RDBMS, OLAP and data mining technologies is presented in this paper. The methodology - based on customer transaction data is described and its efficacy in achieving very relevant customer profiles is demonstrated using actual bank branch level customer transaction data. The superiority of this approach over OLAP is briefly discussed.
Keywords :
bank data processing; customer profiles; data mining; transaction processing; Indian bank data; OLAP; RDBMS; centralized banking solutions; customer profiling; customer transaction data; data mining technologies; self-service channels; Banking; Business communication; Conference management; Data analysis; Data engineering; Data mining; Demography; Engineering management; Technology management; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1691-2
Electronic_ISBN :
978-1-4244-1692-9
Type :
conf
DOI :
10.1109/ICCCE.2008.4580670
Filename :
4580670
Link To Document :
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