Autonomous Analytics uses machine learning to understand normal patterns within time series data, detect anomalies and continuously forecast future values. Our alerts operate in real time and in context – correlating the incident to similar anomalies, relevant factors and the potential root cause. Detect and diagnose high-impact problems faster than is humanly possible. Watch this 2-minute video to learn more.
Video: A Quick Intro to Anodot Autonomous Analytics
Proactive Payment Monitoring for Puma
Learn how Puma uses Anodot to monitor and detect payment issues across 45 global ecommerce sites.
Customer Success Spotlight: PUMA
With Puma, we integrated revenue measures first as this is was their initial goal for using Anodot. However, while working with data, we decided to expand our view to a much broader metrics than just revenue.
Anodot for Payments: Detect and Resolve Incidents Faster
Find out why global companies like Payoneer, Credit Karma and SplitIt are using Anodot to detect and resolve operational incidents before they impact revenue and customers. The digital transformation and decentralization of the fintech segment has resulted in increasing complexities in payment transactions, more third party applications and a higher volume and velocity of payments […]