The following illustration shows the initial results from the query point of view. in Microsoft Office

Generation Code 39 Full ASCII in Microsoft Office The following illustration shows the initial results from the query point of view.

The following illustration shows the initial results from the query point of view.
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As you can see, there is very little difference in the three columns and the results of the calculations. Now, before you think that something is wrong, let s investigate a bit further and drill down on the query to identify the actual benefits and results. The following illustration shows a bit more with some help from the properties we can use from the BEx Analyzer. In this view of the BEx Analyzer query, we have reduced the view of the characteristics by using just the technical name in the query (versus the text and technical name in the query). We also
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hide the rest of the key figures, RKF, and CKF so that we can see the three CKFs clearly, all on one screen.
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In this scenario, we can see that there is a difference between %GT, %RT, and %CT. %CT is calculating the total per characteristic. Therefore, the percentages by division are 100% totals, and the others are still a percentage of the total in the query. If we focus on Division 2, this difference is clear. %CT is calculating by the subset of Division/Sold To Party. Therefore, Sold To Party 1174, 1900, and 1901 total 100%, whereas in %RT and %GT they total about 16% to 17%. We will now see if there s any difference in these two final percentage calculations. The first of the following illustrations shows that we will be filtering by Sales Organization in this case. We will filter based on Sales Organization 1000 to see the outcome. The second illustration shows the outcome of the last filtering by Sales Organization 1000. Now we can easily review the differences. If we look at the information, we can see differences in the postings this time. The difference is that for %RT, we are expecting to the results based on them showing in the query, whereas %GT is the results based on the grand total. It doesn t take into account the filter (in this case, the Sales Organization). This illustrates the need to review the results of the different reporting functions included in the standard functions.
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In this case, the final adjustment would be to correct the results total or hide the results row so that the totals are not misleading.
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To edit an existing CKF, you would need to access it either from the InfoProvider level or the query level, depending on where it was created. Then you open the Formula Editor and make the necessary changes. Another important concern with editing is the fact that a specific CKF is used in a number of different queries, workbooks, and WADs. Therefore, before you edit the CKF, make sure you confirm what other objects will be effected. You can see where the calculated key figure is used, choose Where-Used List from the context menu. Once you have made your changes, click OK to close and review the results in the actual query. Another new feature is the ability to create an RKF or CKF directly from within the CKF. For example, let s say a developer is creating the CKF and realizes that he will need another RKF to complete the formula. One of the many ways he can do this is to use the context menu at any section of the formula that has a space to create another RKF. The following illustration shows an example of a formula that was created on the query side of the Formula Editor. Here, the developer is in the process of either creating or changing the formula.
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