Abstract
Monitoring and analyzing the operation of enterprises is a key capability of Governance, Risk, and Compliance (GRC) solutions and is relevant for high-risk organizations, such as financial services. The potential of state-of-the-art process mining (data-driven process analysis) is limited by quality issues with transactional data registration and extraction. A novel approach is proposed to address these challenges: the Enterprise Operational Analysis (EOA) founded in DEMO and the Enterprise Operating System (EOS). The EOS is a software system based on enterprise engineering, and stores, interprets, and executes DEMO models as native source code. The EOS provides workflow-like capabilities and supports EOA. Combining the EOS with state-of-the-art process mining offers the following advantages: guaranteed completeness of analysis, elimination of ‘mining’ for events, facilitating process conformance checking, analysis on various levels of granularity from various perspectives. It enables enterprises to systematically analyze, improve and deploy business procedures. A professional business case is analyzed.
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Dudok, E., Guerreiro, S., Babkin, E., Pergl, R., van Kervel, S.J.H. (2015). Enterprise Operational Analysis Using DEMO and the Enterprise Operating System. In: Aveiro, D., Pergl, R., Valenta, M. (eds) Advances in Enterprise Engineering IX. EEWC 2015. Lecture Notes in Business Information Processing, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-319-19297-0_1
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