Our client, a Canadian public oversight institution, needed to analyse the accounting records and practices of a company under investigation in order to identify and track fraudulent transactions.
Our engagement involved the extraction of transaction data spanning several years (amounting to several million records), giving us an in-depth understanding of the company’s accounting practices and records. We also identified and automated the categorisation of various types of transactions, as well as the isolation of all disbursement operations. We developed an anomaly detection algorithm, such as Benford’s Law, and used powerful specialised software for computer and email analysis to identify the most relevant information.