Multidimensional data modeling for business process analysis

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MANSMANN, Svetlana, Thomas NEUMUTH, Marc H. SCHOLL, 2007. Multidimensional data modeling for business process analysis. In: PARENT, Christine, ed., Klaus-Dieter SCHEWE, ed., Veda C. STOREY, ed., Bernhard THALHEIM, ed.. Conceptual modeling - ER 2007 : 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5 - 9, 2007. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 23-38. ISBN 978-3-540-75562-3. Available under: doi: 10.1007/978-3-540-75563-0_4

@inproceedings{Mansmann2007Multi-17632, title={Multidimensional data modeling for business process analysis}, year={2007}, doi={10.1007/978-3-540-75563-0_4}, number={4801}, isbn={978-3-540-75562-3}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Lecture notes in computer science}, booktitle={Conceptual modeling - ER 2007 : 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5 - 9, 2007}, pages={23--38}, editor={Parent, Christine and Schewe, Klaus-Dieter and Storey, Veda C. and Thalheim, Bernhard}, author={Mansmann, Svetlana and Neumuth, Thomas and Scholl, Marc H.} }

Mansmann, Svetlana Mansmann, Svetlana The emerging area of business process intelligence attempts to enhance the analytical capabilities of business process management systems by employing data warehousing and mining technologies. This paper presents an approach to re-engineering the business process modeling in conformity with the multidimensional data model. Since the business process and the multidimensional model are driven by rather different objectives and assumptions, there is no straightforward solution to converging these models.<br /><br />Our case study is concerned with Surgical Process Modeling which is a new and promising subdomain of business process modeling. We formulate the requirements of an adequate multidimensional presentation of process data, introduce the necessary model extensions and propose the structure of the data cubes resulting from applying vertical decomposition into flow objects, such as events and activities, and from the dimensional decomposition according to the factual perspectives, such as function, organization, and operation. The feasibility of the presented approach is exemplified by demonstrating how the resulting multidimensional views of surgical workflows enable various perspectives on the data and build a basis for supporting a wide range of analytical queries of virtually arbitrary complexity. eng Publ. in: Conceptual modeling - ER 2007 : 26th International Conference on Conceptual Modeling, Auckland, New Zealand, November 5-9, 2007 ; proceedings / Christine Parent; Klaus-Dieter Schewe; Veda C. Storey; Bernhard Thalheim (eds.). Berlin [u.a.] : Springer, 2007. - S. 23-38. - (Lecture notes in computer science ; 4801). - ISBN 978-3-540-75562-3 2012-02-01T09:36:31Z Multidimensional data modeling for business process analysis deposit-license 2007 Neumuth, Thomas Scholl, Marc H. 2012-02-01T09:36:31Z Neumuth, Thomas Scholl, Marc H.

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