Data change insights
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      What kind of anomalies does SysCloud detect?

      SysCloud's anomaly detection identifies unusual deviations in data patterns. The system monitors three types of anomalies: newly added, changed, and deleted.

      1. Newly Added (Trend Level)
        When an unusually large number of items are added, it disrupts the historical baseline, triggering an anomaly alert.

      2. Changed

        • Trend Level: Occurs when an unusually large number of items are changed, deviating from the historical baseline.
        • Record Level: Occurs when critical fields are modified outside expected norms, disrupting the historical baseline and prompting an anomaly alert.

      3. Deleted (Trend Level)
        When an unusually large number of items are deleted, it disrupts the historical baseline, triggering an anomaly alert.

      Note:

      • Trend Level Anomalies incorporate long-term patterns (trends), periodic fluctuations (seasonality), and sudden unexplained deviations (irregularities).
      • Record Level Anomalies involve monitoring changes to critical fields, analyzing long-term patterns in field modifications, and detecting sudden, unexpected updates to key fields.