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The next two examples are a bit more complex, and the Boolean logic starts to get more involved. These queries show the results of a combination of Country and Profit Center characteristics.
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Query 3 (Elimination with Regard to All Characteristic Pairs): Country OR Profit Center
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Here the query is created with the profit center and the country included and the Normal Revenue key figure included. The other key figure is REV3, which holds the Boolean OR logic between the profit center and the country, as shown next.
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The result shows that the Normal Revenue is the same, as it should be, and a total of $1,930.00 in sales for the total hierarchy. Now we can look to the column with the combination of Profit Center or Country to see some interesting information. For someone who doesn t understand what they are looking at, this would make absolutely no sense, so some additional investigate will help. Let s look at the node for PC02 and drill down on the information offered for the country node Europe, and below that the node for DE. The total of $480.00 is a combination of three postings: from DE to AT and from DE to the U.S. ($180.00) and the posting from DE to the UK ($300.00). This is due to the combinations of profit centers or countries. Now, if we go to the next node up, we see that the total is only $80.00. The only record that will count is DE to U.S. (and from PC0201 to a blank field), because this is the only record outside the countries and also outside the profit centers. Therefore, the $80.00 is assigned, as shown here.
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Query 4 (Elimination with Regard to Each Individual Characteristic Pair) Profit Center AND Country Here, the query is created with the profit center (initially in the free characteristics)
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and the country included and the REV2 key figure included. The other key figure is REV4,
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which holds the Boolean AND logic between the profit center and the country. The following illustration shows this result.
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We are now looking at two virtual key figures that generate their values during the time that the query is being executed. These results are even more confusing to the layman, and this type of report will be almost always used internally (versus external use as a formal report). In this case, we will focus on the lower portion of the hierarchy and see how to break down the results. The following illustration shows the results of the query. We will focus on the node for profit center group PC03. Now, looking at the key figure Rev Country, we see that Asia is easy to understand because it shows $150.00 for all levels because there is only one posting that being between profit centers and countries.
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Moving up a group, we see that the combinations of results need some additional documentation, and based on the results of the last two queries, I would definitely attach comments or a document. Getting back to the query, in the Rev Country column, the lower amount is $300.00, and this comes from the postings between the UK to both DE and the U.S. Once the totals roll up to the next level, we see that the amount has changed to $250.00, which comes from the fact that one of the postings ($50.00) is between the UK and DE within the same hierarchy node and therefore is eliminated. Moving to the next column, we see that the lower level amount matches but the upper node is still at $300.00. When this is calculated, it holds the extra $50.00 because both the profit centers and the countries are not consistent and therefore can t eliminate the extra $50.00 from the node. Based on this explanation, take a look at the other nodes and work through the records that have been posted to understand the posting process and the elimination process. We ve only been using about 20 records so that the overall discussion can be focused and so that we don t have to search through large volumes of records to discuss the concepts. Just think of the company that has large volumes of records processing through this scenario. You definitely want to understand the functionality of Elimination of Internal Company Volumes and how the results come about, rather than trying to work through large volumes of records to figure out all the postings. As you can see, this component of the BW reporting system can be very useful in the appropriate situation.
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