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Adaptive Planning
Last Updated: 2023-06-23
Steps: Build Outlier Reports

Steps: Build Outlier Reports

Anomaly Detection
uses a machine learning algorithm to predict values in the prediction version. Use the outlier report to:
  • Compare the predictions with your plan values.
  • Flag outliers that you define with conditional formatting.
This prediction version doesn't include exchange rates and consolidation percentages, which can affect these reported values:
  • Level rollups
  • Variances
The outliers that you flag in reports don't match the outliers in sheets because sheets detect outliers based on a preset range.