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Automated business diagnosis in the OLAP context

In: Operations Research Proceedings 2004

Author

Listed:
  • Emiel Caron

    (Erasmus University Rotterdam
    Tilburg University)

  • Hennie Daniels

    (Erasmus University Rotterdam
    Tilburg University)

Abstract

In this paper, we describe an extension of the OLAP (On-Line Analytical Processing) framework with automated causal diagnosis, offering the possibility to automatically generate explanations and diagnostics to support business decision tasks. This functionality can be provided by extending the conventional OLAP system with an explanation formalism, which mimics the work of business decision makers in diagnostic processes. The central goal of this paper is the identification of specific knowledge structures and reasoning methods required to construct computerized explanations from multidimensional data and business models. The methodology was tested on a case study involving the comparison of financial results of a firm’s business units.

Suggested Citation

  • Emiel Caron & Hennie Daniels, 2005. "Automated business diagnosis in the OLAP context," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 425-433, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-27679-1_53
    DOI: 10.1007/3-540-27679-3_53
    as

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