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Analytics initiatives often begin with organizations requesting that business users document their requirements for dashboards and reports. Users will work as individuals or in small teams to list a set of metrics that they believe are used to quantitatively evaluate their performance. The technical team will follow up with a proposed approach for rendering these metrics in a dashboard or set of reports while deprecating any metrics for which they cannot effectively capture the data. At first glance, this approach is a common-sense way to begin to deliver dashboards to the organization, but it does miss a larger truth. The larger truth is that, in many organizations, the metrics currently in place for evaluating sales and marketing performance are strictly backward looking and reflect performance of past periods. For example, a typical request for a sales manager dashboard might include the following components: Sales forecast: Show all the deals set to close within the current quarter weighted by probability or sales stage. Sales pipeline: Show the value of all the open deals in my pipeline and the trend over time. Performance: Show the performance of my sales team to date (e.g., win value and win rate). Figure 3-1 shows an example of what a simple sales manager dashboard might look like.

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Figures 10-13, 10-14, 10-15, and 10-16 show the values I entered for these new columns. Table 10-15 describes properties important to the pivot operation.

The internal XML document generated by sp_xml_preparedocument is cached and will continue to take up SQL Server memory until it is explicitly removed with the sp_xml_removedocument procedure. The sp_xml_removedocument procedure accepts a single parameter, the int document handle initially generated by sp_xml_preparedocument: EXECUTE sp_xml_removedocument @docHandle;

For each output, holds the value the pivot operation will group on. Holds the LineageID for the input column to use as the source.

s Caution Always call sp_xml_removedocument to free up memory used by XML documents created with sp_xml_createdocument. Any XML documents created with sp_xml_createdocument remain in memory until sp_xml_removedocument is called or the SQL Server service is restarted. Microsoft advises that not freeing up memory with sp_xml_removedocument could cause your server to run out of memory.

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12. Click OK to exit the Create Named Query dialog. On FilteredSystemUser, find SystemUserId. Right-click SystemUserId, and select Set Logical Primary Key. Right-click SystemUserId again, and select New Relationship. Set the Source to FilteredSystemUser and the Source Column to Manager. Set the Destination table to FilteredSystemUser and Destination Columns to SystemUserId. The relationship displayed in Figure 4-37 allows people to use a managerial hierarchy when browsing the cube. Click OK to close the Create Relationship dialog box.

9. Click OK to be returned to the Data Flow design surface. Configuration is complete! With the Pivot transform, I can only suggest that hands-on use will give you a better idea of how it works. I definitely suggest that before you configure this transform, you create a suitable SQL pivot query to provide the basis of, and a reference to, the pivot the task is supposed to perform.

The sample in Listing 11-1 returns a table in edge table format, which is the default OPENXML rowset format. According to BOL, Edge tables represent the fine-grained XML document structure . . . in a single table (http://msdn2.microsoft.com/en-us/library/ ms186918(SQL.100).aspx). The columns returned by the edge table format are shown in Table 11-2.

The unique ID of the document node. The root element ID is 0. The identifier of the parent of the node. If the node is a top-level node, the parentid is NULL. The column that indicates the type of the node. It can be 1 for an element node, 2 for an attribute node, or 3 for a text node. The local name of the element or attribute, or NULL if the DOM object does not have a name. The namespace prefix of the node. The namespace URI of the node, or NULL if there s no namespace. The data type of the element or attribute row, which is inferred from the inline DTD or inline schema. The XML ID of the previous sibling element, or NULL if there is no direct previous sibling. The attribute value or element content.

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