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User-Oriented Filtering of Qualitative Data

In: Operations Research Proceedings 2004

Author

Listed:
  • Carsten Felden

    (Universität Duisburg-Essen)

  • Peter Chamoni

    (Universität Duisburg-Essen)

Abstract

Several business intelligence concepts show that it is possible to build a data warehouse based on heterogeneous quantitative and qualitative data. But the danger of flooding the management with information still remains. Business information should be made available according to the personal need of a manager by a self-defined push mechanism. The concept of active data warehousing is going to be expanded in this way, first. Messages about new relevant information should be created for quantitative and qualitative data as well. Due to this, there is a need for an enterprise specific ontology. This ontology works as an intermediate between current information and user profiles. Just interesting information are passed to the user. The second approach clusters qualitative data in favour of visualization. The usage of increasing cell structures provides a self organizing map. Decision makers will get the opportunity to search in document volumes, which are clustered.

Suggested Citation

  • Carsten Felden & Peter Chamoni, 2005. "User-Oriented Filtering of Qualitative Data," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 434-442, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-27679-1_54
    DOI: 10.1007/3-540-27679-3_54
    as

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