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Adding a Calculation to a Cube
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Calculations extend the analytical capability of your cube. You can use expressions to add additional measures to a cube. You can create a derived measure if you add a Named Calculation to a fact table in the DSV. To create a Named Calculation, you use a SQL expression to perform arithmetic operations using other columns in the fact table. For example, you could multiply an amount by a quantity to derive an extended amount. Derived measures calculate as part of the SQL statement that retrieves values from the fact table. The expression always calculates before any aggregations are performed. Earlier in this chapter, you learned that you can manage the aggregation behavior of a measure by specifying the correct AggregateFunction property. The default aggregation function is Sum, which adds lower level values to get higher level values. With some derived measure expressions, however, you get incorrect values if you use the Sum function to aggregate the values. For example, if you want to calculate average sales correctly using dollars and units sold, you must perform the calculation after the dollars and units are summed. To do that, you must create a calculated measure. A calculated measure is a calculation that is added to the Measures dimension. The difference between a derived measure and a calculated measure is when the calculation is performed. A derived measure is calculated before aggregations are created, and the values of the derived measure are stored in the cube. A calculated measure is calculated after aggregations are created, and the values of a calculated measure aren t stored in the cube. The primary criterion for choosing between a derived measure and a calculated measure is not efficiency, but accuracy. If a calculation contains only addition or subtraction, you can choose whether to create a derived measure or a calculated measure based purely upon convenience or efficiency, since
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5:
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Designing Measure Groups and Measures
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addition and subtraction can be done in any order. For example, you could create a Gross Profit measure by subtracting a Cost Of Goods Sold measure from a Net Sales Dollars measure. Since this calculation involves only subtraction, the values will be the same whether you choose to make it a derived measure using columns from the fact table or a calculated measure using measures in a cube. If the measure will be used frequently, make it a derived measure; if infrequently, make it a calculated measure. If a calculation involves multiplication by a constant, you ll get the same value regardless of whether you use a calculated or a derived measure. Again, base the decision on how frequently the measure will be accessed. If a calculation involves multiplying or dividing one column by another as in calculating a price or a ratio the choice between a calculated measure and a derived measure is important. If you want to aggregate by summing and the expression for the measure involves multiplication or division, you ll almost always want to create a calculated measure. If, however, you use a Min or Max aggregation function, you might want to create a derived measure that calculates before the aggregation takes place. In this procedure, you ll create a simple calculation to determine the average Internet sales per unique customer. Add a weighted average calculation 1. Click the Calculations tab in the Cube Designer. Your screen looks like this:
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If you re already familiar with MDX scripting, you might prefer to click the Script View button on the toolbar to switch views. Otherwise, you ll find it easier to create a new calculated member using the Form View which is the default view when you first open the Calculations tab.
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