• DocumentCode
    169891
  • Title

    Customization of Domain-Specific Reference Models for Data Warehouses

  • Author

    Schutz, Christoph ; Schrefl, Michael

  • Author_Institution
    Dept. of Bus. Inf. - Data & Knowledge Eng., Johannes Kepler Univ. Linz, Linz, Austria
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    61
  • Lastpage
    70
  • Abstract
    The availability of reference models for data warehouses lowers the obstacles that inhibit small and medium-sized enterprises (SMEs) from using business intelligence technology. Service providers may offer to companies a set of pre-configured reference models for various industries. Modelers may then customize the chosen reference model, tailoring the model to the specific needs of the individual company. This customization may consist of additions, omissions, and modifications with respect to the reference model. In this paper, we propose a metamodel and customization approach for reference multidimensional models. We emphasize simplicity and understandability in order to facilitate the introduction of business intelligence solutions in SMEs. Furthermore, we specifically address the explicit modeling of key performance indicators and their calculation rules as well as the definition of reference data marts for report building.
  • Keywords
    business data processing; competitive intelligence; data warehouses; small-to-medium enterprises; SME; business intelligence solutions; data warehouses; domain-specific reference model customization; key performance indicators; metamodel; reference data marts; reference multidimensional models; report building; small-and-medium-sized enterprises; Bismuth; Buildings; Business; Data models; Data warehouses; Unified modeling language; Business Intelligence; Conceptual Modeling; Metadata Management; Reference Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Enterprise Distributed Object Computing Conference (EDOC), 2014 IEEE 18th International
  • Conference_Location
    Ulm
  • ISSN
    1541-7719
  • Type

    conf

  • DOI
    10.1109/EDOC.2014.18
  • Filename
    6972051