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When a user is manually, or explicitly, assigned to a team, the user will appear as a member in the Membership column For example, Will and Chris both report to Jim Will is a member of the East team; Chris is a member of the West team As a result, Jim will be an implicit member of both the East and West teams When a user is manually assigned to a team, the user s management reporting hierarchy is implicitly added to the team as well This ensures that members of the user s management hierarchy also have visibility over the records of the user in question Implicit members appear as Member Reports-to in the Membership column However, when a user becomes implicitly part of a team, they cannot be removed manually from the team Instead, you must remove them from the inherited team.

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Figure 1-2. The completed OLAP Wizard Step 2 of 3 page 12. Click Next. 13. With the Save a Cube File Containing All Data for the Cube option selected, click Browse. 14. In the File Name list, type ExcelDB_Ch01_05.cub, and click Save. 15. Click Finish. 16. If the Save As dialog box appears to save the query, type Excel_Ch01_05 in the File Name box, and click Save. The PivotTable and PivotChart Wizard Step 3 of 3 dialog box appears. Finally, display the cube file s data in Excel in 2003: 1. With the PivotTable and PivotChart Wizard Step 3 of 3 dialog box displayed, click Finish. In the PivotTable Field List pane, do the following: 2. Click Location, select Page Area in the Add To list, and click Add To. 3. Click Product, select Row Area in the Add To list, and click Add To.

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32 bits on 32-bit Windows operating systems, 64 bits on 64bit Windows operating systems 8 bits 16 bits

In the preceding example, to delete Jim from the West team either Chris must be removed from the West team, or Chris must no longer report to Jim You cannot just remove Jim from the West team..

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4. Click Time, select Column Area in the Add To list, and click Add To. 5. Click Sum of Units Sold, select Data Area in the Add To list, and click Add To. If you are using Excel 2007, connect to the ExcelDB_Ch01_05.cub file included in the Source Code/Download section of the Apress web site, http://www.apress.com, and use the PivotTable Field List pane to display the cube file s data, as follows: 1. Start Excel. 2. Click Data (Get External Data) From Other Sources From Microsoft Query. 3. With the OLAP Cubes tab selected, click <New Data Source>, and click OK. 4. In the What Name Do You Want to Give Your Data Source box, type ExcelDB_Ch01_05. 5. In the Select an OLAP Provider for the Database You Want to Access list, select Microsoft OLE DB Provider for OLAP Services 8.0. 6. Click Connect. The Multidimensional Connection dialog box appears. 7. Click the Cube File option. 8. Next to the File box, click the ellipsis (. . .) button. 9. Browse to and select the ExcelDB_Ch01_05.cub file, click Open. 10. Click Finish, and click OK. 11. In the Choose Data Source dialog box on the OLAP Cubes tab, select ExcelDB_Ch01_05. 12. Click OK. The Import Data dialog box appears. 13. Click OK. The PivotTable Field List pane appears. 14. In the PivotTable Field List pane, select the Sum of Units Sold, Location, Product, and Time check boxes. 15. Drag the Location icon from the Row Labels box to the Report Filter box. 16. Drag the Time icon from the Row Labels box to the Column Labels box.

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In regard to teams, the new feature added in SugarCRM 5.5 is the ability to have multiple teams for a record. This is handy in larger organizations, where a record might have different parts of it that need to be used by different areas of the company. For example, an Account record may need to be shared by the accounting department, sales team, and the department that does the service work for the account. By having multiple teams for a record, all three teams can share this record between them. An additional fix to the multiple teams feature in Sugar 5.5 is the ability to view records you are assigned to, even if the team you were a member of didn t have access to the record. The team s functionality in SugarCRM is flexible enough to handle any organizations needs. It also is very easy to use, yet fast and powerful.

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vb.net data matrix reader

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