Fraud Detection & Prevention: A Data-Driven Approach
Altair Knowledge Studio Spotlight Session
On-Demand Webinar Recording Now Available.
Fraud impacts everyone—from individual consumers to large corporations.
Traditional rules-based systems may have been effective in the past in identifying fraud, but they become ineffective and stale as fraudsters learn how to bypass those rules. It becomes even more challenging due to the large volumes of data that need to be processed and examined to detect fraud, in addition to the constantly changing tactics for committing fraud – those activities are usually hidden in large volumes of data.
During the session, we'll cover how you can:
- Stay ahead of fraudsters using predictive insights and real-time monitoring and scoring
- Leverage historical data to build predictive models that can better target fraud
- Cover both detection and prevention to make faster, more accurate decisions