• DocumentCode
    2171440
  • Title

    Context adaptive visualization for effective business intelligence

  • Author

    Xiaoyan Bai ; White, Douglas ; Sundaram, David

  • Author_Institution
    Dept. of Inf. Syst. & Oper. Manage., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2013
  • fDate
    17-19 Nov. 2013
  • Firstpage
    786
  • Lastpage
    790
  • Abstract
    Organizations nowadays invest heavily in business intelligence (BI) systems to get insights from their increasingly large volumes of complex data, support decision making and achieve competitive advantages. The visualization capability of a BI system in terms of developing effective visualizations for addressing business problems is crucial to the success of BI. With the rapid advances achieved in the domain of information visualization, many existing visualization techniques/applications can provide reasonable support for particular paradigms, problem domains, and data types. However, they are still weak for supporting multi-paradigm, multi-domain problems and maintaining visualization effectiveness under dynamic contexts. BI systems need to include visualization subsystems or be used together with separate visualization systems that offer flexible support for creating, manipulating and transforming visualization solutions. In this paper, we discuss business visualization context and propose and implement a context adaptive visualization framework. Furthermore, we demonstrate the framework implementation through a sequence of context-driven illustrations.
  • Keywords
    competitive intelligence; data visualisation; decision making; business intelligence; business visualization context; context adaptive visualization; context-driven illustrations; data types; decision making; dynamic contexts; information visualization; multiparadigm multidomain problems; problem domains; visualization capability; visualization subsystems; Bismuth; Business; Context; Data models; Data visualization; Prototypes; Visualization; Business intelligence systems; Business visualization context; Context adaptive visualization; Framework; Implementation; Visualization effectiveness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2013 15th IEEE International Conference on
  • Conference_Location
    Guilin
  • Type

    conf

  • DOI
    10.1109/ICCT.2013.6820481
  • Filename
    6820481