Hierarchy
SAP_BW (Software Component) SAP Business Warehouse⤷
BW-PLA-BPS (Application Component) Business Planning and Simulation⤷
UPF (Package) SEM-BPS: Planning Functions
Basic Data
| Data Element | UPF_Y_OUTLIER_CORRECTION |
| Short Description | Outlier Correction |
Data Type
| Category of Dictionary Type | D | Domain |
| Type of Object Referenced | No Information | |
| Domain / Name of Reference Type | UPF_D_BOOL | |
| Data Type | CHAR | Character String |
| Length | 1 | |
| Decimal Places | 0 | |
| Output Length | 1 | |
| Value Table |
Further Characteristics
| Search Help: Name | ||
| Search Help: Parameters | ||
| Parameter ID | ||
| Default Component name | ||
| Change document | ||
| No Input History | ||
| Basic direction is set to LTR | ||
| No BIDI Filtering |
Field Label
| Length | Field Label | |
| Short | 10 | Correction |
| Medium | 20 | Outlier Correction |
| Long | 30 | Outlier Correction |
| Heading | 30 | Outlier Correction |
Documentation
Definition
Outlier correction is a function that identifies and replaces outliers in historic data. Outliers are anomolous values that cannot be explained by the forecasting model that you have selected. They can heavily influence the forecast result.
Within the forecast function, outliers are defined by sigma factors. Each outlier is replaced by the ex-post forecast value for the relevant time. After this correction has been made the forecast calculation is performed again with the amended historic data.
Use
Activate outlier correction if you think that outliers (according to the forecast function definition) have an unfavorable effect on the forecast result. Avoid using outlier correction if anomolous values are to be taken into account when you calculate a forecast.
Dependencies
Example
History
| Last changed by/on | SAP | 20130604 |
| SAP Release Created in | 350 |
