Anomaly Detection
Our knowledge graph solutions build contextual taxonomies linking entities across your data ecosystem to power predictive analytics, personalization and more.
01
Baseline Modeling
Vast historical data trains self-learning models of normal operational patterns and inter-variable relationships.
02
Multivariate Monitoring
Simultaneous evaluation of diverse metrics detects subtle anomalies across related factors.
03
Anomaly Scoring
Deviations generate real-time scores calibrating each event's likelihood and importance.
04
Root Cause Analysis
Descriptive analytics pinpoint anomalous metrics and their probable upstream causes.

Case study 1

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