Procedure for Evaluating Non-Cumulative Values 
Procedure for Evaluating Non-Cumulative Values
For evaluating on non-cumulative values, you can usually use the corresponding Business Content See also:
Transferring Business Content
The following InfoSources are delivered:
These InfoSources are not specific to retail, even though the choice of name may suggest this. They are standard extractors for initial non-cumulatives in the Logistics area (Retail, Consumer Products, AFS, Beverage, and so on).
Non-cumulative InfoCubes are also delivered with Business Content, for example:
If you want to model your own objects, proceed as follows:
There are two extraction modes for non-cumulatives in the source system. The DataSources for non-cumulatives have to support one of these extraction modes.
Determine in which way you wish to evaluate the non-cumulative value. If you only wish to evaluate the non-cumulative, or the non-cumulative changes as well as the non-cumulative using a particular time period, choose modeling as a non-cumulative value with non-cumulative changes. If you also want to evaluate the inflows and outflows separately, then choose modeling as a non-cumulative key figure with inflows and outflows.
The non-cumulative change, or inflows and outflows, which you require for the definition of the non-cumulative value, must already be created as InfoObjects if the non-cumulative value is created. Therefore, firstly define either the non-cumulative change, or the in- and outflows as normal cumulative values where necessary. These key figures must correspond to the non-cumulative values, which still have to be defined, in the type definition. The non-cumulative changes, or inflows and outflows, must have ‘summation’ as aggregation and as exception aggregation.
Define the non-cumulative value by assigning to it the previously defined non-cumulative change, or in and outflows.
Choose the exception aggregation you want to use. Standard aggregation always equals "summation".
If you transfer the non-cumulative value into the InfoCube, then the respective cumulative values (non-cumulative change, or in- and outflows) are automatically included in the InfoCube definition.
Take all of the time characteristics into the InfoCube definition, with which you wish to evaluate the InfoCube data.
You can also choose one or more characteristics via Extras
Refer to the notes for defining validity tables. You do not usually have to include additional validity-determining characteristics in the validity table.
Activate the InfoCube.
A MultiProvider can be created from one or more non-cumulative cubes with different time characteristics.
In the following example, a MultProvider is created from a non-cumulative cube with the time characteristic Week and from a non-cumulative cube with the time characteristic Month.
Create the InfoSource(s). If you wish to load an initial non-cumulative, note that you must create two differing InfoSources for posting the initial non-cumulative and for posting the non-cumulative changes. However, initialization is not absolutely necessary.
Only non-cumulatives, therefore no non-cumulative changes, in- and outflows, or other cumulative values can be loaded with the InfoSource for the initialization.
When using the InfoSource for non-cumulative changes, only the changes, or in- and outflows, and not the non-cumulative itself, are updated.
You assign this InfoSource in the maintenance using DataSource transfer rules.
If you want to load an initial non-cumulative, load this first, followed by the non-cumulative changes.
If a non-cumulative change is updated when loading data for the first time, then no further initial non-cumulative can be loaded for this characteristic value.
When loading data, the validity areas for the individual validity-defining characteristic values are automatically updated.
Both the non-cumulative value and the non-cumulative change, or in- and outflows, are available for selection for the query definition in the InfoCube.
With evaluations in reporting, there is no difference in the way cumulative and non-cumulative values are dealt. Cumulative and non-cumulative values can be evaluated at the same time in a query, since the key figures are automatically aggregated correctly.