• DocumentCode
    141804
  • Title

    BIIIG: Enabling business intelligence with integrated instance graphs

  • Author

    Petermann, Andre ; Junghanns, Martin ; Muller, Rudolf ; Rahm, Erhard

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Leipzig, Leipzig, Germany
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    4
  • Lastpage
    11
  • Abstract
    We propose a new graph-based framework for business intelligence called BIIIG supporting the flexible evaluation of relationships between data instances. It builds on the broad availability of interconnected objects in existing business information systems. Our approach extracts such interconnected data from multiple sources and integrates them into an integrated instance graph. To support specific analytic goals, we extract subgraphs from this integrated instance graph representing executed business activities with all their data traces and involved master data. We provide an overview of the BIIIG approach and describe its main steps. We also present initial results from an evaluation with real ERP data.
  • Keywords
    business data processing; competitive intelligence; graph theory; information systems; BIIIG approach; ERP data; business information systems; business intelligence; data instances; data traces; graph-based framework; integrated instance graph; integrated instance graphs; interconnected data; interconnected objects; subgraph extraction; Business; Data integration; Data mining; Data models; Data warehouses; Databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ICDEW.2014.6818294
  • Filename
    6818294