Hierarchy
⤷ BW-BCT-PLA-RMP (Application Component) Retail Merchandise Planning
⤷ /MAP/M (Package) BW: Content MAP Forecast Framework
Basic Data
Data Element | /MAP/M_Y_FIFPOWER |
Short Description | MAP: Exponent of the Influencing Factor |
Data Type
Category of Dictionary Type | Direct Type Entry | |
Type of Object Referenced | No Information | |
Domain / Name of Reference Type | ||
Data Type | DEC | Counter or amount field with comma and sign |
Length | 6 | |
Decimal Places | 4 | |
Output Length | 7 | |
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 | Exponent |
Medium | 15 | IF Exponent |
Long | 20 | Infl. Fctr Exponent |
Heading | 15 | IF Exponent |
Documentation
Definition
The exponent of the influencing factor denotes the power to which the values of the influencing factor are to be raised. Therefore, if the exponent is p, the effective value of an influencing factor with the value f is f to the power p.
Use
The exponent is used to map non-linear modes of action of influencing factors. The default exponent has the value 1, which means that the value of the influencing factor remains unchanged. Negative exponents are also permitted, however, it does not usually make sense to use them.
Dependencies
- When using exponents that are not equal to 1, it should be noted that the calculation of powers is not necessarily mathematically defined. For example, you cannot raise the number -2 to the power 0.5.
- When using an influencing factor with the mode of action "number of sales days", the values of calendrical influencing factors are in the range 0 to 1.
Note:
The following applies in this case:
- If there are exponents > 1, the values of the influencing factor grow underproportionately.
- If there are exponents between 0 and 1 the values of the influencing factor grow overproportionately.
Changes to the exponents require a new model training.
Example
A forecast model for forecasting business volume uses a (normalizing) influencing factor for taking account of the available selling area. The relationship between business volume and selling area is not linear, that is, as the selling area grows, the growth in business volume slows (double the area leads to 50% more business volume). In this case, the exponent for the influencing factor 'selling area' will have the value 0.585 (as 0.585 = log(1.5) / log(2)).
History
Last changed by/on | SAP | 20141031 |
SAP Release Created in | 702 |