• DocumentCode
    2993539
  • Title

    The research & application of Business Intelligence system in retail industry

  • Author

    Gang, Tong ; Kai, Cui ; Bei, Song

  • Author_Institution
    Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    In modern retail business, increasing standards, automation, and technologies have led to vast amounts of data becoming available, however, business decision-making process has become complicated. Traditional database system has been unable to meet userspsila demand in mass data intelligent analysis & forecast. How to change the existing situation of ldquomass data, poor knowledgerdquo, support better business decision-making and help enterprises increase profits and market share become the business and IT sector issues of mutual concern. Business intelligence technologies emerge as the times require. Business intelligence is a very wide-ranging set of the collection, consolidation, analysis and information access capabilities for a solution, including ETL, data warehouse, data query and reporting, multidimensional data analysis, data mining and other technologies. This article sets out an overview of Business Intelligence, the key technology of Business Intelligence, as well as the establishment & application of Business Intelligence System in retail industry. Business subject and dimension design, ETL tool design, data display middleware design and the main innovation are the key points of the system.
  • Keywords
    competitive intelligence; data analysis; data mining; data warehouses; decision making; middleware; retail data processing; ETL tool design; business decision-making process; business dimension design; business intelligence system; business subject design; data display middleware design; data mining; data query; data reporting; data warehouse; market share; mass data forecasting; mass data intelligent analysis; multidimensional data analysis; retail industry; Automation; Business; Data analysis; Database systems; Decision making; Deductive databases; Demand forecasting; Economic forecasting; Information analysis; Intelligent systems; Business Intelligence; Decision-making; Retail industry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636125
  • Filename
    4636125