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# FIX Operators and Various Constant Selections and Aggregations

The following examples show how the system performs a calculation if the FIX operator is in an exception aggregation or if an exception aggregation is in the FIX operator.

We take the example of using the FIX operator here and add the calculated reference key figure Sales with Constant Selection by Product, Calendar Month. The restriction to calendar month in the previous example is thus omitted. The comparison figure, Sales > 1‰, is now given a nested exception aggregation again:
`SUM ( SUM (X) by Product ) by Calendar Month`
The following values are calculated in the result:
Table 1: FIX Operators and Various Constant Selections and Aggregations
Calendar Month Product Sales Sales with Constant Selection by Product 1‰ of Sales with Constant Selection by Product Sales > 1‰ of Sales with Constant Selection by Product, Calendar Month
04.2004 A EUR 40 EUR 100,000 EUR 100 0
B EUR 120 EUR 100,000 EUR 100 1
Total EUR 160 EUR 100,000 EUR 100 1
05.2004 A 20 EUR 100,000 EUR 100 0
B 320 EUR 100,000 EUR 100 1
Total 340 EUR 100,000 EUR 100 1
Total 500 EUR 100,000 EUR 100 2
The formula that the analytic manager uses for the column on the far right is as follows:
`SUM( FIX( SUM( Sales > FIX( 0.001 * (Sales with Constant Selection by Product, Calendar Month) ) by Product ) ) Calendar Month`

Every FIX operator removes a reference characteristic: The outer one removes the GROUP-BY clause for Calendar Month, the inner one removes the GROUP-BY clause for Product. If there are multidimensional aggregations with nested formulas, the formula must be defined as in this example. Having two FIX operators ensures that both reference characteristics are removed. Note however that the outer FIX operator also removes the GROUP-BY clause for Calendar Month, which is also needed for the calculation of the sales figure in the inner formula. In cases like this, the only way to obtain the right result is to always calculate against the full reference key figure and with the basic key figure in its full granularity.