Abstract
The complexity of business processes and the data volume of processed transactions increase with the ongoing integration of information systems. Process mining can be used as an innovative approach to derive information about business processes by analyzing recorded data from the source information systems. Although process mining offers novel opportunities to analyze and inspect business processes it is rarely used for audit purposes. The application of process mining has the potential to significantly improve process audits if requirements from the application domain are considered adequately. A common requirement for process audits is the integration of the data perspective. We introduce a specification of Colored Petri Nets that enables the modeling of the data perspective for a specific application domain. Its application demonstrates how information from the application domain can be used to create process models that integrate the data perspective for the purpose of process audits.
The research results presented in this paper were developed in the research project EMOTEC sponsored by the German Federal Ministry of Education and Research (grant number 01FL10023). The authors are responsible for the content of this publication.
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Werner, M. (2013). Colored Petri Nets for Integrating the Data Perspective in Process Audits. In: Ng, W., Storey, V.C., Trujillo, J.C. (eds) Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8217. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41924-9_31
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DOI: https://doi.org/10.1007/978-3-642-41924-9_31
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