Business Process Intelligence

Daniela Grigori, Fabio Casati, Malu Castellanos, Umeshwar Dayal, Mehmet Sayal, Ming Chien Shan

Research output: Contribution to journalArticle

339 Citations (Scopus)

Abstract

Business Process Management Systems (BPMSs) are software platforms that support the definition, execution, and tracking of business processes. BPMSs have the ability of logging information about the business processes they support. Proper analysis of BPMS execution logs can yield important knowledge and help organizations improve the quality of their business processes and services to their business partners. This paper presents a set of integrated tools that supports business and IT users in managing process execution quality by providing several features, such as analysis, prediction, monitoring, control, and optimization. We refer to this set of tools as the Business Process Intelligence (BPI) tool suite. Experimental results presented in this paper are very encouraging. We plan to investigate further enhancements on the BPI tools suite, including automated exception prevention, and refinement of process data preparation stage, as well as integrating other data mining techniques.

Original languageEnglish
Pages (from-to)321-343
Number of pages23
JournalComputers in Industry
Volume53
Issue number3
DOIs
Publication statusPublished - Apr 2004
Externally publishedYes

Fingerprint

Industry
Data mining
Monitoring

Keywords

  • Business Process Intelligence
  • Data warehouse
  • Process execution analysis and prediction
  • Workflow mining

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Cite this

Grigori, D., Casati, F., Castellanos, M., Dayal, U., Sayal, M., & Shan, M. C. (2004). Business Process Intelligence. Computers in Industry, 53(3), 321-343. https://doi.org/10.1016/j.compind.2003.10.007

Business Process Intelligence. / Grigori, Daniela; Casati, Fabio; Castellanos, Malu; Dayal, Umeshwar; Sayal, Mehmet; Shan, Ming Chien.

In: Computers in Industry, Vol. 53, No. 3, 04.2004, p. 321-343.

Research output: Contribution to journalArticle

Grigori, D, Casati, F, Castellanos, M, Dayal, U, Sayal, M & Shan, MC 2004, 'Business Process Intelligence', Computers in Industry, vol. 53, no. 3, pp. 321-343. https://doi.org/10.1016/j.compind.2003.10.007
Grigori D, Casati F, Castellanos M, Dayal U, Sayal M, Shan MC. Business Process Intelligence. Computers in Industry. 2004 Apr;53(3):321-343. https://doi.org/10.1016/j.compind.2003.10.007
Grigori, Daniela ; Casati, Fabio ; Castellanos, Malu ; Dayal, Umeshwar ; Sayal, Mehmet ; Shan, Ming Chien. / Business Process Intelligence. In: Computers in Industry. 2004 ; Vol. 53, No. 3. pp. 321-343.
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