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Component: BI-RA-AWB
Component Name: SAP BusinessObjects Analysis, edition for OLAP
Description: A data value that is far from other values in the set.
Key Concepts: Outlier is a term used in SAP BusinessObjects Analysis, edition for OLAP to describe a data point that is significantly different from the other data points in a dataset. Outliers can be identified by their distance from the mean or median of the dataset. Outliers can be caused by errors in data entry, or they can be legitimate data points that are simply different from the rest of the data. How to use it: Outliers can be identified in SAP BusinessObjects Analysis, edition for OLAP by using the “Outlier Detection” feature. This feature allows users to set a threshold for outlier detection, and any data points that exceed this threshold will be flagged as outliers. The user can then decide whether to keep or discard these outliers. Tips & Tricks: When using the Outlier Detection feature, it is important to set an appropriate threshold for outlier detection. If the threshold is set too low, then too many data points may be flagged as outliers, which could lead to inaccurate results. On the other hand, if the threshold is set too high, then legitimate outliers may not be detected. Related Information: For more information on outlier detection in SAP BusinessObjects Analysis, edition for OLAP, please refer to the official documentation at https://help.sap.com/viewer/product/SAP_BUSINESSOBJECTS_ANALYSIS_EDITION_FOR_OLAP/2.0/en-US