Adaptive business dashboards are essential when it comes to organizing large quantities of information. In general, there are many data records that correspond to a given row and column heading in the crosstab table. The values of the measures for these records must therefore be aggregated to yield the single scalar value that appears at a given row-column intersection. The aggregation method specified by the �Aggregate� menu determines the way in which this summarization is done.
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Aggregation Example
In this configuration:
� Row dimension is �Customer� (a region/state hierarchy)
� Column dimension is �Product� (a category/product name hierarchy)
� Measure is �Quantity Purchased�.
The �Aggregate� menu specifies �Sum�, which indicates that each value in the crosstab table will represent the sum of �Quantity Purchased� taken over all records matching the given row and column headings. Thus, for the row heading �USA East� and the column heading �Business�, the summary value of the measure shown in the crosstab table represents the total quantity of all �Business� category products purchased by �USA East� region customers.
In the same way, if we set the �Aggregate� menu to �Max�, then the summary value shown in the crosstab table for the above row and column combination would represents the maximum quantity of �Business� category products purchased by any �USA East� region customer.
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