Anomaly Detection

Flags inconsistencies automatically

For every time series analysis, Kubit's anomaly detection engine automatically calls out outliers as red dots on the chart.

  • Behind the scenes a machine learning algorithm builds a model based on historical data which considers seasonalities, skips known incidents and reduces false alarms.
  • Mouse-over shows the Z-score of the incident data points compared to the predicted values.
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