Semantic Analysis of Business Process Executions

  • Fabio Casati
  • Ming-Chien Shan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2287)

Abstract

Business Process Management Systems log a large amount of operational data about processes and about the (human and automated) resources involved in their executions. This information can be analyzed for assessing the quality of business operations, identify problems, and suggest solutions. However, current process analysis systems lack the functionalities required to provide information that can be immediately digested and used by business analysts to take decisions. In this paper we discuss the limitations of existing approaches and we present a system and a set of techniques, developed at Hewlett-Packard, that overcome this limitations, enabling the use of log data for efficient business-level analysis of business processes.

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References

  1. [1]
    P. Bernstein et al. The Asilomar Report on Database Research. Sigmod Record 27(4), Dec 1998.Google Scholar
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    F. Casati, U. Dayal, D. Grigori, M.C. Shan. Improving Business Process Quality through Exception Understanding, Prediction, and Prevention. Procs. of VLDB’01, Rome, Italy. Sept. 2001Google Scholar
  3. [3]
    Hewlett-Packard. Let’sBuyIt.com Case Study. Aug. 2000. Available from www.hp.com/go/e-process
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    F. Leymann, D. Roller: Production Workflow. Prentice-Hall, 2000.Google Scholar
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    F. Casati. Intelligent Process Data Warehouse for HPPM 5.0. HP Labs Technical Report. Available from www.hpl.hp.com. Nov. 2001.

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Fabio Casati
    • 1
  • Ming-Chien Shan
    • 1
  1. 1.Hewlett-Packard LaboratoriesPalo AltoUSA

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