• DocumentCode
    2908522
  • Title

    Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan

  • Author

    Asghar, Sohail ; Fong, Simon ; Hussain, Touqeer

  • Author_Institution
    Shaheed Zulfikar Ali Bhutto Inst. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2009
  • fDate
    24-26 Nov. 2009
  • Firstpage
    673
  • Lastpage
    678
  • Abstract
    Acquiring useful Business Intelligence (BI) for high-qualitative decision making is a challenging task in today´s dynamic business environment. Powerful tools are available such as ETL, data-warehouse, OLAP, data-mining and visualization. However, companies are lack of standardization of procedures in cultivating BI for improving the performance of the organization at all levels. In this paper, we developed a model that link dimensions of BI and processes together, for providing a good decision support, for disaster management organization in Pakistan as a case study. The model is implemented and validated using Oracle BI tools and techniques. The significance of this research work is the BI model proposed which provides exploratory abilities on the data, and linkages among BI processes from the conceptual BI dimensions.
  • Keywords
    business continuity; competitive intelligence; corporate modelling; decision making; ETL; OLAP; Oracle BI tools; business intelligence modeling; data mining; data warehouse; decision support; disaster management organization; dynamic business environment; high-qualitative decision making; Bismuth; Computer science; Couplings; Data mining; Data warehouses; Decision making; Disaster management; Information technology; Knowledge management; Prototypes; Business Intelligence dimension; Data Mining; Data Warehouse; OLAP; and Business Functionaity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Sciences and Convergence Information Technology, 2009. ICCIT '09. Fourth International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5244-6
  • Electronic_ISBN
    978-0-7695-3896-9
  • Type

    conf

  • DOI
    10.1109/ICCIT.2009.318
  • Filename
    5368927