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Recent estimates report that companies lose 5% of their revenue tooccupational fraud. Since most medium-sized and large companies employEnterprise Resource Planning (ERP) systems to track vast amounts of informationregarding their business process, researchers have in the past shown interestin automatically detecting fraud through ERP system data. Current research inthis area, however, is hindered by the fact that ERP system data is notpublicly available for the development and comparison of fraud detectionmethods. We therefore endeavour to generate public ERP system data thatincludes both normal business operation and fraud. We propose a strategy forgenerating ERP system data through a serious game, model a variety of fraudscenarios in cooperation with auditing experts, and generate data from asimulated make-to-stock production company with multiple research participants.We aggregate the generated data into ready to used datasets for fraud detectionin ERP systems, and supply both the raw and aggregated data to the generalpublic to allow for open development and comparison of fraud detectionapproaches on ERP system data.

Open ERP System Data For Occupational Fraud Detection