About Anomaly Detection
Anomaly Detection (AD) continuously analyzes historical and current transaction patterns to identify unusual tax calculation behavior before it becomes a problem.
Tax teams usually find tax issues through monthly reports or ERP reconciliations, which can delay detection by weeks. Anomaly Detection (AD) closes that gap. It helps tax teams catch potential compliance or financial issues early, without manually reviewing every transaction.
An anomaly is an unexpected change in a tax result compared to the results that AD has previously seen for the same type of transaction.
AD flags a change only when all key transaction conditions stay the same. It doesn’t flag a business change, such as a new product, customer, or jurisdiction, only because it is new.
AD analyzes both audited and non-audited transactions.
Best practices
Follow these practices to get the most from Anomaly Detection:
- Review anomalies regularly, especially right after Thomson Reuters enables Anomaly Detection for your company.
- Use filters and thresholds to prioritize high-impact anomalies.
- Mark expected anomalies consistently. Some anomalies reflect intentional changes, such as configuration updates or regulatory rate changes. When you selectMark as Expectedfor these anomalies, the system raises fewer repeat alerts and becomes more accurate at detection over time.
Support
For enablement, questions, or feedback, contact your Thomson Reuters representative or Professional Services team.