Advances in Rule-Based Process Mining: Applications for Enterprise Risk Management and Auditing

Abstract

Process mining research has mainly focused on the development of process mining techniques, with process discovery algorithms in the center of attention. However, far less research attention has been paid to the actual applicability of these process mining techniques in common business settings. Consequently, there only exists a partial fit between the existing process mining techniques and the compliance checking & risk management applications. This research report contributes to the process mining and compliance checking research by proposing an eff ective and efficient rule-based approach for analyzing organizational information and processes. Additionally, a general content-based business rule taxonomy has been developed as a source of business rules for the compliance checking approach. Furthermore, we also provide formal grounding for and an evaluation of the rule-based approach.