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OLAP technology for business process intelligence : Challenges and solutions

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2007

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Neumuth, Thomas

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http://nbn-resolving.de/urn:nbn:de:bsz:352-176680
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https://doi.org/10.1007/978-3-540-74553-2_11
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SONG, Il Yeal, ed., Johann EDER, ed., Tho Manh NGUYEN, ed.. Data Warehousing and Knowledge Discovery. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 111-122. Lecture Notes in Computer Science. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-540-74552-5. Available under: doi: 10.1007/978-3-540-74553-2_11

Zusammenfassung

The emerging area of business process intelligence aims at enhancing the analysis power of business process management systems by employing data warehousing and mining technologies. However, the differences in the underlying assumptions and objectives of the business process model and the multidimensional data model aggravate a straightforward solution for a meaningful convergence of the two concepts. This paper presents the results of an ongoing project on providing OLAP support to business process analysis in the innovative application domain of Surgical Process Modeling. We describe the deficiencies of the conventional OLAP technology with respect to business process modeling and formulate the requirements for an adequate multidimensional presentation of process descriptions. The modeling extensions proposed at the conceptual level are verified by implementing them in a relational OLAP system, accessible via a state-of-the-art visual analysis tool. We demonstrate the benefits of the proposed analysis framework by presenting relevant analysis tasks from the domain of medical engineering and showing the type of the decision support provided by our solution.

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ISO 690MANSMANN, Svetlana, Thomas NEUMUTH, Marc H. SCHOLL, 2007. OLAP technology for business process intelligence : Challenges and solutions. In: SONG, Il Yeal, ed., Johann EDER, ed., Tho Manh NGUYEN, ed.. Data Warehousing and Knowledge Discovery. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007, pp. 111-122. Lecture Notes in Computer Science. ISSN 0302-9743. eISSN 1611-3349. ISBN 978-3-540-74552-5. Available under: doi: 10.1007/978-3-540-74553-2_11
BibTex
@inproceedings{Mansmann2007techn-17668,
  year={2007},
  doi={10.1007/978-3-540-74553-2_11},
  title={OLAP technology for business process intelligence : Challenges and solutions},
  isbn={978-3-540-74552-5},
  issn={0302-9743},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Data Warehousing and Knowledge Discovery},
  pages={111--122},
  editor={Song, Il Yeal and Eder, Johann and Nguyen, Tho Manh},
  author={Mansmann, Svetlana and Neumuth, Thomas and Scholl, Marc H.}
}
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