Salary & wages = pay rates * hours. Exception aggregation created in account dimension of the model. We get a variety of options to choose like sum, count, min, max, avg etc.
In exception aggregation column and need to choose which set of dimension we want summation to happen. Following scenario shows that without exception aggregation. The average exception aggregation does not take into account null (empty) values.
In sap analytics cloud : In sac you can create exception aggregation in either in the model or in the story. It is better to add exception aggregation in model as you can reuse it in different story.
You will go to the key figure. Aggregation functions like summation average, etc. Normal summation will give total sales.
Where in normal summation would not yield correct result. Aggrgation is done with reference to a external char. (mostly time char. ) e. g.
Normal summation will not give. A public account dimension needs to have the same exception aggregation type and exception aggregation dimensions across all models. Exception aggregation and result lookup formula in sap analytics on cloud business scenario:
Calculation of salary & wages for an employee based on hours and pay rates while employees are grouped based on department hierarchy they belong to. Sap analytics cloud first attempts to aggregate the data as much as possible, and then processes any calculations. If no exception aggregation is defined, this process applies to all dimensions of the model.
If exception aggregation is defined, the dimensions that are defined as exception aggregation dimensions are excluded from this. Inconsistent behaviour of exception aggregation in account formulas. Inconsistent behaviour of exception aggregation in account formulas.
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Rules for standard aggregation and exception aggregation. Average (values not equal to zero) ( average of all values < > 0) if you aggregated with the reference characteristic, the average of the column values is displayed as not equal to zero in the result line. Applying exception aggregation in sap analytics cloud.
Now that we have a basic understanding of some of the terms and key players, let’s take a look at an example of exception aggregation in sap analytics cloud. By default, the measures in our models use the aggregation type of ‘sum’. In some cases, the sum aggregation isn’t appropriate.
In sap analytics cloud : In sac you can create exception aggregation in either in the model or in the story. It is better to add exception aggregation in model as you can reuse it in different story.
You will go to the key figure. Only difference is one is enabled with exception aggregation on material group. Kf with standard aggregation works on individual row line.
(denoted with orange lines) for example : Ar company code satisfies the 500k expression hence the output 1. Exception aggregation works with a ref characteristic (material group) on which the calculation.
What are aggregations and exception aggregations? Why and how would we want to use them? We’ll answer these questions and more by explaining the basic parts.
Applying aggregation to models in #sap analytics cloud begins in the modeler. The modeler enables you to prepare your data in various ways prior to analysis. In this video tutorial, you will review how to use the aggregation and exception aggregation settings in models.
Sap analytics cloud first attempts to aggregate the data as much as possible, and then processes any calculations. If no exception aggregation is defined, this process applies to all dimensions of the model. If exception aggregation is defined, the dimensions that are defined as exception aggregation dimensions are excluded from this processing.
