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Unit 6: Business Intelligence Project




          These columns can be used to define a parent-child dimension that contains the following  Notes
          member hierarchy.

                                 Figure 6.5: Sample Member Hierarchy

















          Source:  http://i.msdn.microsoft.com/dynimg/IC44843.gif
          Both columns must have the same data type. Both columns must be in the same table.
          When you define a parent-child dimension, you can also select a third column to provide
          member names, which are displayed to end users as they browse cubes. The depth of a parent-
          child dimension can vary among its hierarchy’s branches.
          You can use the Dimension Wizard to create parent-child dimensions. After you create a parent-
          child dimension, you can edit it in Dimension Editor (if the dimension is shared) or Cube Editor
          (if the dimension is private).



              Task  Make report on application of business intelligence and planning in midsize
             companies.

          Self Assessment

          State whether the following statements are true or false:
          13.  A parent-child dimension is based on two dimension table columns that together define
               the lineage relationships among the members of the dimension.
          14.  When you define a parent-child dimension, you can also select a third column to provide
               member names, which are displayed to end users as they browse cubes.

          15.  You can use the Dimension Wizard to create parent-child dimensions.




             Case Study  Managing Data Sources for Input to Data
                         Warehousing and Business Intelligence

                    ata warehousing and business intelligence effort is only as good as the data that
                    is put into it. The saying “Garbage In, Garbage Out” is all too true. A leading
             Dcause of data warehousing and business intelligence project failures is to obtain
             the wrong or poor quality data.
                                                                                Contd....



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