• 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