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A Data Warehouse for Workflow Logs

Johann EderContact Information, Georg E. OlivottoContact Information and Wolfgang GruberContact Information

(7)  Department of Informatics-Systems, University of Klagenfurt, A-9020 Klagenfurt, Austria
Abstract
Workflow Logs provide a very valuable source of information about the actual execution of business processes in organizations. We propose to use data warehouse technology to exploit this information resources for organizational developments, monitoring and process improvements. We introduce a general data warehouse design for workflow warehouses and discuss the results from an industrial case study showing the validity of this approach.

Contact Information Johann Eder
Email: eder@isys.uni-klu.ac.at

Contact Information Georg E. Olivotto
Email: georg.olivotto@aon.at

Contact Information Wolfgang Gruber
Email: gruber@isys.uni-klu.ac.at
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Referenced by
3 newer articles

  1. Gaaloul, Walid (2009) Log-based transactional workflow mining. Distributed and Parallel Databases
    [CrossRef]
  2. van der Aalst, W. (2004) Workflow mining: discovering process models from event logs. IEEE Transactions on Knowledge and Data Engineering 16(9)
    [CrossRef]
  3. Omicini, Andrea (2005) An algebraic approach for modelling organisation, roles and contexts in MAS. Applicable Algebra in Engineering Communication and Computing 16(2-3)
    [CrossRef]
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