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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Tiwari, A., Turner, C.J., Majeed, B.: A review of business process mining: state-of-the-art and future trends. Business Process Management Journal 14, 5–22 (2008)
Van der Aalst, W.M.P.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, Heidelberg (2011)
Jans, M., Alles, M., Vasarhelyi, M.: Process mining of event logs in auditing: opportunities and challenges. Working Paper. Hasselt University, Belgium (2010)
Jans, M.J.: Process Mining in Auditing: From Current Limitations to Future Challenges. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM Workshops 2011, Part II. LNBIP, vol. 100, pp. 394–397. Springer, Heidelberg (2012)
Jans, M., van der Werf, J.M., Lybaert, N., Vanhoof, K.: A business process mining application for internal transaction fraud mitigation. Expert Systems with Applications 38, 13351–13359 (2011)
Jans, M., Alles, M., Vasarhelyi, M.: Process Mining of Event Logs in Internal Auditing: A Case Study. In: 2nd International Symposium on Accounting Information Systems (2011)
Günther, C.W., van der Aalst, W.M.P.: Fuzzy mining–adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007)
Process Mining Group: ProM, http://www.processmining.org/prom/start
Stocker, T.: Data flow-oriented process mining to support security audits. In: Pallis, G., et al. (eds.) ICSOC 2011 Workshops. LNCS, vol. 7221, pp. 171–176. Springer, Heidelberg (2012)
De Leoni, M., van der Aalst, W.M.: Data-Aware Process Mining: Discovering Decisions in Processes Using Alignments (2013)
Accorsi, R., Wonnemann, C.: InDico: Information Flow Analysis of Business Processes for Confidentiality Requirements. In: Cuellar, J., Lopez, J., Barthe, G., Pretschner, A. (eds.) STM 2010. LNCS, vol. 6710, pp. 194–209. Springer, Heidelberg (2011)
International Federation of Accountants: ISA 315 (Revised), Identifying and Assessing the Risks of Material Misstatement through Understanding the Entity and Its Environment (2012)
Werner, M.: Einsatzmöglichkeiten von Process Mining für die Analyse von Geschäftsprozessen im Rahmen der Jahresabschlussprüfung. In: Plate, G. (ed.) Forschung für die Wirtschaft, pp. 199–214. Cuvillier Verlag, Göttingen (2012)
Werner, M., Gehrke, N., Nüttgens, M.: Business Process Mining and Reconstruction for Financial Audits. In: Hawaii International Conference on System Sciences, Maui, pp. 5350–5359 (2012)
Schultz, M., Müller-Wickop, N., Nüttgens, M.: Key Information Requirements for Process Audits – an Expert Perspective.pdf. In: Proceedings of the 5th International Workshop on Enterprise Modelling and Information Systems Architectures, Vienna (2012)
Müller-Wickop, N., Schultz, M., Peris, M.: Towards Key Concepts for Process Audits – A Multi-Method Research Approach. In: Proceedings of the 10th International Conference on Enterprise Systems, Accounting and Logistics, Utrecht (2013)
Jensen, K., Kristensen, L.M.: Coloured petri nets. Springer (2009)
Kemper, H.-G., Mehanna, W., Baars, H.: Business intelligence - Grundlagen und praktische Anwendungen: eine Einführung in die IT-basierte Managementunterstützung. Vieweg + Teubner, Wiesbaden (2010)
Gehrke, N., Müller-Wickop, N.: Basic Principles of Financial Process Mining A Journey through Financial Data in Accounting Information Systems. In: Proceedings of the 16th Americas Conference on Information Systems, Lima, Peru (2010)
yWorks GmbH: yEd - Graph Editor, http://www.yworks.com/de/products_yed_about.html
University of Hamburg: Renew - The Reference Net Workshop, http://www.renew.de/
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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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