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selected from the drop-down list (as shown in the left half of Figure 7-17) Once the Member of Dimension data type is selected, the text box on the right side of the dialog box will change from Value to Dimension Alias:, and a dimension list will appear to select the referenced dimension The Entity dimension is selected as the referenced dimension, as shown in the right half of Figure 7-17 for the example in this chapter The default value for the referenced dimension can be selected by clicking on the Ellipsis ( ) button that is available to the right of the text box titled Member: in the Create Member Property dialog box Clicking the Ellipsis ( ) button will open the Member Selector, which then displays the available members in the referenced dimension, from which the default member of the referenced dimension can be selected After you ve defined the various aspects of the new dimension member property, clicking OK will close the Create Member Property dialog box It will also display the Dimension Workspace for the Employee dimension where the newly created Entity member property can be seen as the rightmost column Click the Check In link in the Dimension Tasks pane on the right side to save and check in the Employee dimension The user-defined dimension member property will be available to all members of the dimension It is important to note that the user-defined dimension member properties cannot be deleted after they are created and saved
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There are four commonly used ways for loading members into dimensions within a PPS Planning Application The choice of the data loading method depends on the volume, the original source, the complexity, and the volatility of the dimension data The following sections will explain each of the commonly used data loading mechanisms with examples Direct Data Entry The dimension member data can be directly entered to the dimension from the Member Maintenance tab in the dimension workspace The direct data entry method is recommended for dimensions that have few members that are fairly static, and where the dimension data cannot be derived from any other sources including an existing data warehouse The Scenario dimension is selected to demonstrate direct data entry method in this chapter The first step is direct data entry method is to check out the Scenario dimension by clicking the Check Out link from the Dimension Tasks pane After checking out the dimension, select the Member Maintenance tab in the dimension workspace In the next step, go to the Actions menu and select action New Sibling This will add a new member to the Scenario dimension with the Name and Label values of NewMember1, as shown in the top half of Figure 7-18 You can then double click on the text NewMember1 under the Name column and change the name to Actual
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7: Planning Module in PerformancePoint Server
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The label value can be similarly changed to ACT after double clicking on the text NewMember1 under the Label column An optional description of Actual can be added by double clicking in the Description column In the direct data entry method, new dimension members can be added by selecting New Sibling from the Actions menu Every time the New Sibling is selected from the Actions menu, a new member with Name and Label values of NewMemberx is added to the dimension The names and labels can then be modified by double clicking on the text, and entering the desired values For the purpose of the example in this chapter, another member with Name, Label, and Description values of Budget, BGT, and Budget respectively is added to the Scenario dimension The final Scenario dimension member list is shown in the bottom half of Figure 7-18 After all the dimension members are entered by the direct data entry method, the dimension can be saved or checked in Checking in will automatically save the dimension data to the PPS Planning system Load Members from Data Source The dimension member data can be loaded from a data source that has already been added to the Data Sources link on the left pane
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Figure 7-18 The direct entry of dimension data is feasible for small dimensions with fairly static data
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