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Workflow management systems are being increasingly used by many organizations to automate business processes and decrease costs. Audit trails from workflow management systems include significant amounts of information that can be used to analyze and monitor the performance of business processes in order to improve the efficiency. Traditional approaches for using workflow audit trail for decision support purposes are lacking in transforming the workflow audit trail in real-time to valuable business information. In this paper, we introduce a data warehousing approach for extracting, transforming, and evaluating workflow audit trail data with the aim of providing a solid data foundation for process-oriented decision support. We introduce an architecture that allows the propagation and transformation of audit data from workflow management systems in near real-time to a data warehouse system. The architecture takes full advantage of existing J2EE (Java 2 Platform, Enterprise Edition) technology and uses an ETL container for providing a scalable, near real-time ETL environment for workflow audit trails.
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