Anomaly detection

Anomaly detection is to allow users to quickly identify any unexpected spike of discounts, commission, fees and service recovery against previous months. This allow them to identify anomalies scenarios and get clarification with required department before inspecting reconciliation results.

Importance, Challenges and Best Practices

Importance

• Ensures no unexpected charges and behaviors
• Have an idea of anomalies before inspecting reconciliation result saving time

Challenges:

• Multiple payment channels and partners
• High volume of transactions

Best Practices

• Implement automated reporting tools where possible

Anomaly via % against revenue

Identify anomaly by comparing month on month % against revenue. Provides a good overview of sudden increase and decrease in discount given, service recovery, commission and more. Slice and dice by platform, brands and outlets.