• DocumentCode
    2326553
  • Title

    Gaining Insight to Customer Behavior based on Time Series Data

  • Author

    Xiao Wei-Ping

  • Author_Institution
    Sch. of Comput. & Commun., Hunan Inst. of Eng., Xiangtan, China
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The success of customer relationship management is dependent upon the organization´s ability to truly understand the individual customer and market to them with the optimal product, message and channel. An essential component of this one-to-one marketing strategy is the creation and deployment of a robust customer segmentation system. Through the use of powerful time series data and sophisticated data mining and statistical techniques, organizations can gain valuable insight into the motivation behind customer behaviors. This shift will allow organizations to create products based on the customer´s needs and desires and develop more profitable and longer-term customer relationships.
  • Keywords
    customer relationship management; data mining; statistical analysis; time series; customer relationship management; customer segmentation system; one-to-one marketing strategy; sophisticated data mining; statistical techniques; time series data; Communication system control; Companies; Credit cards; Customer profiles; Customer relationship management; Data engineering; Data mining; Industrial relations; Power system management; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and Information System Security, 2009. EBISS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2909-7
  • Electronic_ISBN
    978-1-4244-2910-3
  • Type

    conf

  • DOI
    10.1109/EBISS.2009.5137987
  • Filename
    5137987