In many cases, perpetrators of corporate fraud go undetected because of the limited ability to perform tests on data contained in two or more computer systems (which often store data using different data types). Audit Analytics is designed to help investigators systematically and regularly validate transactions in order to identify suspicious activity across multiple systems or departments.
By efficiently analyzing complex and disparate data sets, Arbutus technology can test for fraud in a flexible and timely manner. Naturally, the longer a fraud continues undetected, the larger the damage to the organization, and the harder it becomes to recover losses.
Most organizations are sitting on an ever growing ocean of data. Audit Analytics makes it possible for examiners to apply fraud detection tests against files of unlimited size and complexity. The technology is optimized for performance, allowing examiners to perform more queries on large data sets without restrictive delays, or having to wait for results.