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AnalyticsVersion 1.0.0Low
Anomaly Detection
Detects data anomalies and proposes checks. Use when a number deviates from the norm.
Pack: Reports & DecisionsProcedure
- 1Compute mean and standard deviation of the latest period
- 2Flag values beyond 2 deviations from the mean
- 3Compare with the same period last year to rule out seasonality
- 4Classify: system anomaly, isolated event, data error
- 5Propose the concrete check for each
Rules
- · Every anomaly carries the check that would confirm it
- · No alarm without the comparison value
- · Possible data error: always check the source
Expected output
Anomaly list (metric, value, mean, deviation, classification, proposed check)
When not to use it
- · Unexplained anomalies: never treat them as certain
- · Seasonal data (holidays, sales): compare with the same period last year
Example requests
«February collapsed, what happened?»
