• DocumentCode
    3495954
  • Title

    Implementation of Data Mining Engine on CRM-improve customer satisfaction

  • Author

    Al-Mudimigh, A.S. ; Saleem, F. ; Ullah, Z. ; Al-Aboud, F.N.

  • Author_Institution
    King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2009
  • fDate
    15-16 Aug. 2009
  • Firstpage
    193
  • Lastpage
    197
  • Abstract
    Analysis on customer relationship is reaching more practical and motivating success factor for the growth of every company, in the same way, discovery of unseen information is also supporting for the successful expansion in an organization. A customer and a company are essential to each other and their good relationship and understanding will take the company on the top as well as the customer to the satisfactory level. In this paper we presented the model of customer relationship management (CRM) to describe the association of a customer with the company and enhanced the model by connection with data mining engine (DME) for evaluation the query of a customer or an employee, customer understanding to support the CRM. The main aspect of this paper is DME which is playing commanding role to bear a company on the top. Analyze and assessment of the query to understand the customer and work on organization´s action, by using data mining techniques are the main characteristics of DME.
  • Keywords
    consumer behaviour; customer satisfaction; data mining; query processing; CRM; customer association; customer relationship management; customer satisfaction; data mining engine; query assessment; Companies; Customer relationship management; Customer satisfaction; Data mining; Databases; Engines; Information analysis; Information technology; Profitability; Web pages; Customer Relationship Management (CRM); Customer Satisfaction; Data Mining Engine (DME);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2009. ICICT '09. International Conference on
  • Conference_Location
    Karachi
  • Print_ISBN
    978-1-4244-4608-7
  • Electronic_ISBN
    978-1-4244-4609-4
  • Type

    conf

  • DOI
    10.1109/ICICT.2009.5267193
  • Filename
    5267193