• DocumentCode
    260704
  • Title

    Data mining techniques for CRM

  • Author

    Senkamalavalli, R. ; Bhuvaneshwari, T.

  • Author_Institution
    CSE Dept., SCSVMV Univ., Kanchipuram, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    The way in which companies interact with their customers has changed dramatically over the past few years. A customer´s containing business is no longer guaranteed. As a result, companies have found that they need to understand their customers better, and to quickly respond to their wants and needs. In addition, the time frame in which these responses need to be made has been shrinking. It is no longer possible to wait until the signs of customer dissatisfaction are obvious before action must be taken. To succeed, companies must be proactive and anticipate what a customer desires. In this paper we are going to discuss the Data Mining techniques used in Customer Relationship Management.
  • Keywords
    customer satisfaction; data mining; CRM; customer desires; customer dissatisfaction; customer relationship management; data mining techniques; Companies; Customer relationship management; Data mining; Data models; Data visualization; Databases; CRM; Data Mining Techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7033776
  • Filename
    7033776