Once the connection has been set up and the necessary configurations are complete, it is possible to create the export job in SAP Analytics Cloud. Some of the steps are the same as importing data in that you select the connection, select the target data, and map the data. However, there are a few additional points to keep in mind, which are covered below.
Mapping Dimensions
Some target dimensions are automatically mapped to the source dimension.

It's important to check all of the target dimensions for accuracy. In the following example, you can see that the target dimension has not been mapped. You will need to select a source dimension from the dropdown list of values.

If no source value exists in the source dimension, then you select Not Mapped and select a constant in the Default Value field. In the example below, you can see that the constant value of YCOA is used because ZCOA doesn’t exist in SAP Analytics Cloud.

Map the source version to the target SAP Business Warehouse version. However, remember that the export only supports public versions.

If the Currency Key is blank in the Target Dimension, you will need to replace it with a default value such as USD.

Mapping Measures
Only one measure can be exported per export job. In the following example, you can see the target measure ZAMOUNT is mapped to source dimension SignedData.

NoteThere is no special handling for compounding characteristics in an SAP BW ADSO, so all the superior characteristics (along with the compounding characteristic) should be mapped in SAP Analytics Cloud.
Export Method
The Clean and Replace selections control the data region that is overwritten in the target ADSO.
In the project scenario used in this course, there is another group who is writing to the same ADSO by calendar month and profit center. Therefore, you will select calendar month and profit center so that your export doesn't affect their data.
