• DocumentCode
    3374944
  • Title

    Knowledge and Process Based Decision Support in Business Intelligence System

  • Author

    Ou, Luan ; Peng, Hong

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
  • Volume
    2
  • fYear
    2006
  • fDate
    20-24 June 2006
  • Firstpage
    780
  • Lastpage
    786
  • Abstract
    As a kind of data-driven decision support systems, business intelligence tools focus too much on data and have low efficiency of decision making. Companies in today are more process-oriented than in the past and process-driven decision support system is emerging to help enterprises improve the speed and effectiveness of business operations. In order to provide the business intelligence system with the ability of process-driven decision making, we introduce the concept of business process management to the current business intelligence system. We add the process model component in our business intelligence model base. With the implementation of case-based reasoning and rule-based reasoning technology, the process models can be built and managed efficiently. In this paper we also provide a strategy for knowledge management in business intelligence system
  • Keywords
    business data processing; case-based reasoning; competitive intelligence; decision making; decision support systems; knowledge management; business intelligence system; business process management; case-based reasoning; data-driven decision support system; knowledge management; process-driven decision making; rule-based reasoning technology; Companies; Data analysis; Data warehouses; Decision making; Decision support systems; Engines; Intelligent systems; Knowledge management; Mathematical model; Workflow management software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
  • Conference_Location
    Hanzhou, Zhejiang
  • Print_ISBN
    0-7695-2581-4
  • Type

    conf

  • DOI
    10.1109/IMSCCS.2006.236
  • Filename
    4673803