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.
Updated 6 months ago