Hierarchy
⤷ BW-BCT-PLA-RMP (Application Component) Retail Merchandise Planning
⤷ /MAP/F (Package) BW: Content MAP Forecast (BPS)
Basic Data
Data Element | /MAP/F_Y_FACTOR |
Short Description | MAP: Proportional Factor of Reference Combination |
Data Type
Category of Dictionary Type | Direct Type Entry | |
Type of Object Referenced | No Information | |
Domain / Name of Reference Type | ||
Data Type | FLTP | Floating point number, accurate to 8 bytes |
Length | 16 | |
Decimal Places | 16 | |
Output Length | 22 | |
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 | PropFactor |
Medium | 15 | Prop. Factor |
Long | 20 | Proportional Factor |
Heading | 20 | Proportional Factor |
Documentation
Definition
The proportional factor describes the key figure relationship between the characteristic combination under consideration and the growth of the reference data.
The relationship Value (current combination) = Factor * Value (reference data) applies.
Take the following into account:
The proportional factor describes the growth of the normalized growth of the key figure to be forecast, that is to say, of the values divided by the normalizing influencing factor values in the database. If the normalized values for the current characteristic combination and the reference data are identical, choose the value 1 for the proportional factor.
Use
Dependencies
Example
Execute a sales volume forecast at store level and the store 1000 refers to the reference store 0900. The reference store 0900 has a sales volume of 10,000#, the store 1000 has a sales volume of 8,000#.
The selling area is used as a normalizing influencing factor.
- 1st case: Both stores have a selling area of 100m². The normalized sales volume therefore amounts to:
- 10,000 / 100 = 100 #/m² for store 0900
- 8,000 / 100 = 80 #/m² for store 1000
- Choose the value 0.8 for the proportional factor.
- 2nd case: Store 1000 has a selling area of 100m², store 0900 has a selling area of 80m². The normalized sales volume therefore amounts to:
- 10,000 / 100 = 100 #/m² for store 0900
- 8,000 / 80 = 100 #/m² for store 1,000
- Choose the value 1.0 for the proportional factor.
History
Last changed by/on | SAP | 20141031 |
SAP Release Created in | 702 |