What is outlier in SAP CEC-MKT-PRI - Recommendation?

SAP Term: outlier

• Component: CEC-MKT-PRI

• Component Name: Recommendation

• Description: Values in the historical interaction data that lie outside the expected range of values. These values should not be taken into account by an algorithm when producing recommendations.

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• Key Concepts: 
  Outlier is a term used in the CEC-MKT-PRI Recommendation component of SAP to refer to an item or value that is significantly different from the rest of the data. Outliers can be caused by errors in data entry, or they can be legitimate values that are simply different from the rest of the data. 
  
  How to use it: 
  Outliers can be identified by looking at the data and seeing if there are any values that are significantly different from the rest. In SAP, outliers can be identified using various statistical methods such as box plots, scatter plots, and other methods. Once identified, outliers can be removed from the data set or further investigated to determine if they are legitimate values or errors. 
  
  Tips & Tricks: 
  When identifying outliers in SAP, it is important to consider the context of the data. For example, if a value is significantly higher than the rest of the data, it may be an outlier, but it could also be a legitimate value that is simply higher than the rest. It is important to consider all possibilities before removing an outlier from the data set. 
  
  Related Information: 
  Outliers can have a significant impact on data analysis and should be handled with care. For more information on how to identify and handle outliers in SAP, please refer to SAP’s documentation on CEC-MKT-PRI Recommendation.