• DocumentCode
    2030883
  • Title

    Toward a knowledge-based model for real-time business intelligence

  • Author

    AlSuwaidan, Lulwah ; Zemirli, Nesrine

  • Author_Institution
    Inf. Syst. Dept., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    443
  • Lastpage
    446
  • Abstract
    Knowledge management is a critical part of the business environment, especially in decision making. Most of the current business intelligence models separate knowledge management from the business process. Real-time business intelligence provides the same functionality as business intelligence but operates on data extracted from operational data sources with zero latency and provides the means to propagate actions back into business processes in real time. Therefore, the greatest need for knowledge management is in real-time business intelligence applications, which depend on making decisions at critical times. This paper suggests a model for integrating knowledge management capabilities into a real-time business intelligence process. This model will assist the business environment by facilitating the process of decision making.
  • Keywords
    business data processing; competitive intelligence; decision making; feature extraction; knowledge based systems; knowledge management; business intelligence; business process; data extraction; decision making; knowledge management; knowledge-based model; Data mining; Data models; Decision making; Knowledge based systems; Knowledge management; Real-time systems; knowledge management; knowledge modeling; real-time business intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237179
  • Filename
    7237179