Wit our Outlier Analysis we provide: 

  • Fully automated detection of outlier data fields and outlier data points
  • 3 different methods of outlier detection supported out of the box
    • Box Plot
    • Standard Deviation
    • Random Forest
  • Visualization of outlier data points using time series graph.
  • Optionally, configure grouping criteria for normal data points.
  • Correlation of outliers with other facets
  • Query builder to specify filtering criteria for outliers

Screenshot_Outlier_Analysis.png

 

What´s next ?    

Learn more about Outlier Detection

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