Explain a data anomaly

Help me understand an unexpected result in our data.

Expected: {{describe}}
Actual: {{describe_the_anomaly_include_numbers}}
When it started: {{timeframe}}
Data source: {{system_or_report}}
Recent changes: {{product_team_methodology_external_factor}}

Please:
1. Most likely explanations, ordered by probability
2. What additional data would confirm or rule out each
3. Immediate actions while investigating
4. Whether this could be a data quality issue vs real business signal

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