• DocumentCode
    2204002
  • Title

    A Framework for Identifying and Selecting Measures to Enhance BI-Agility

  • Author

    Baars, Henning ; Hutter, Heiko

  • fYear
    2015
  • fDate
    5-8 Jan. 2015
  • Firstpage
    4712
  • Lastpage
    4721
  • Abstract
    Fueled by increasingly complex and dynamic business environments, agility has risen to a strategic priority in many industries. The need to efficiently react not only to expected developments but also to unforeseen events requires responsive decision support approaches -- an agile Business Intelligence (BI). A puzzling variety of measures has been proposed for pursuing this aim -- from modified data modeling methods, over process models, up to a tool-based support of end-user development. Based on the results of a series of expert interviews with 25 companies, this paper develops a framework for a) identifying relevant measures for tackling issues of BI agility and for b) classifying them with respect to potential business impact and costs. The framework has been evaluated and fleshed out in workshops with BI experts.
  • Keywords
    competitive intelligence; data models; decision support systems; software tools; BI agility; business intelligence; data modelling method; decision support approach; end-user development; strategic priority; tool-based support; Bismuth; Business; Data acquisition; Data models; Industries; Memory; Phase measurement; Agile Business Intelligence; Agility; BI organization; Business Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2015 48th Hawaii International Conference on
  • Conference_Location
    Kauai, HI
  • ISSN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2015.561
  • Filename
    7070381