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Enabling process mining and fraud analytics to detect non-compliant cases
Host: Prof. Marc Langheinrich
USI Lugano Campus, room SI-006, Informatics building
This talk is part of our public Fintech Seminar Series
In the context of leveraging technology in combatting fraud and non-compliance cases we will showcase a solution which combines our knowledge in investigation and compliance monitoring with process mining techniques. In the presentation we will first shed a light on fraudster and their motivation. We will then showcase a solution called “Fraud Lens” applied to a common business use case in practice. Thereby Fraud Lens enables the detection of potentially high-risk cases in the business process based on client’s ERP process logs and highlights high-risk cases using rules-based weighted fraud-risk scoring. Fine-tuning of the risk scoring rules, parameters and weighting allow for the discovery of potentially fraudulent cases and process anomalies which can be investigated further using the full visualization capabilities of the process mining application.
Dr. Madan Sathe is currently employed at EY’s Forensic & Integrity Services department as a Director and is heading the forensic data analytics practice in Switzerland. He just finished the MBA at the ESMT Berlin (Germany) with a focus on Business Integrity and Compliance. Before joining EY, Madan did his PhD at the University of Basel in the research area of graph algorithms, high performance computing and computational science.
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