• DocumentCode
    3272688
  • Title

    The Design and Implement of CRM Data Mining System for Medium-Small Enterprises Based on Weka

  • Author

    Yan, Shen ; Lin, Song Shun ; Wei, Li Shou

  • Author_Institution
    Dept. of Comput. Sci. & Commun. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    15-17 May 2009
  • Firstpage
    596
  • Lastpage
    599
  • Abstract
    As modern business, the competition between each other is very furious. For every medium-small enterprise, it must raise its core competition if it wants to survive in the furious competition environment of the market. Therefore the medium-small enterprise should change management model from product-centric to customer-centric. Today, a CRM system is always constructed in the enterprise, which can support to management customers. Through the research of the import role of data mining in CRM and the method which can be used in data mining for the CRM and the features of medium-small enterprise, a feasible CRM system is presented in this paper, which is based on Weka. According to the ideas, a prototype is implemented and some tests of mining research are done to prove the thoughts that the technology of data mining can support the enterprise to make the efficient sales strategy.
  • Keywords
    customer relationship management; data mining; sales management; small-to-medium enterprises; CRM data mining system; Weka; competition environment; customer-centric management model; medium-small enterprises; sales strategy; Application software; Computer science; Data engineering; Data mining; Databases; Decision trees; Design engineering; Information technology; Management information systems; Prototypes; CRM; association analysis; data mining; decision tree; medium-small enterprise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications, 2009. IFITA '09. International Forum on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-0-7695-3600-2
  • Type

    conf

  • DOI
    10.1109/IFITA.2009.81
  • Filename
    5231420