• DocumentCode
    2138870
  • Title

    Business Intelligence An Industrial Perspective

  • Author

    Hsu, Meichun

  • Author_Institution
    HP Labs, Beijing
  • fYear
    2007
  • fDate
    16-19 Oct. 2007
  • Firstpage
    3
  • Lastpage
    3
  • Abstract
    Information technology has long enabled enterprises to conduct business transactions efficiently. The advent of Web and the accompanying pervasive search, retrieval and mining technologies have opened up a new frontier for enterprises. Enterprises, private or public, are expected to capitalize on information of many sources and forms to detect events and respond to changes quickly for business advantages. In this talk, we will discuss next-generation business intelligence architectures that will likely enable business intelligence applications to scale significantly both in computation and in volume of data, and thus opening up possibilities that are not practical today, by fusing parallel computing and parallel data management technologies and by going way beyond the type and scope of data harnessed in traditional online transaction processing systems.
  • Keywords
    competitive intelligence; data mining; parallel processing; business advantages; business intelligence architectures; business transactions; information technology; mining technologies; online transaction processing systems; parallel computing; parallel data management technologies; pervasive search; Computer architecture; Computer industry; Concurrent computing; Data analysis; Engineering management; Event detection; Information technology; Parallel processing; Research and development management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology, 2007. CIT 2007. 7th IEEE International Conference on
  • Conference_Location
    Aizu-Wakamatsu, Fukushima
  • Print_ISBN
    978-0-7695-2983-7
  • Type

    conf

  • DOI
    10.1109/CIT.2007.187
  • Filename
    4385046