A comprehensive and automated approach to intelligent business processes execution analysis

Malu Castellanos, Fabio Casati, Umeshwar Dayal, Ming Chien Shan

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

A set of concepts and architectures that lay the foundation for providing users with intelligent analysis and predictions about business process executions is presented. The tools are able to provide users with information about why the quality of a process execution is low, what will be the outcome of a certain process, or how many processes will be started in future. The information is crucial to gain visibility into the process, understand or foresee problems and areas of optimization, and quickly identify solutions. Intelligent analysis and predictions are achieved by applying data mining techniques to process execution data.

Original languageEnglish
Pages (from-to)239-273
Number of pages35
JournalDistributed and Parallel Databases
Volume16
Issue number3
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes

Keywords

  • Business process
  • Business process intelligence
  • Metrics
  • Prediction
  • Process analysis
  • Star schema

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Hardware and Architecture
  • Information Systems and Management

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