Proactive data analytics can help organizations in the combat of risks and costs of fraud and may help strengthen corporate governance and internal controls effectiveness.

Leading organizations are applying proactive data analytics to combat the risks and costs of fraud and misconduct. Proactive data analytics involves taking routinely collected unrelated data sets and then conducting comparisons, summaries, and aggregations to detect anomalies known to be indicative of potential fraud and misconduct. Leveraging such technology can help strengthen corporate governance, facilitate the implementation of more effective and focused internal controls, reduce potential future losses, and help identify recoverable actual losses.

Download our whitepaper “K'Trace: Leveraging Technology to combat fraud, waste and abuse”