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There are three empty cells for Internet Order Quantity and one empty cell for Reseller Sales Amount Both of the measures have empty cells for CY 2006
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NonEmpty with a Different Measure
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Here we are using the new measure by itself to see what happens when NonEmpty is reintroduced The query is identical (apart from the measure chosen) to the one that used Internet Order Quantity earlier
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Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
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-- the extra measure alone seems to work select {[Measures][Reseller Sales Amount]} on columns, nonempty({[Date][Calendar][Calendar Year]}) on rows from [Adventure Works] where [Product][Product Categories][Category][Accessories]
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This time, it works as expected The single empty cell for CY 2006 for Reseller Sales Amount is suppressed Confusing Why does it appear to work for one measure yet not for another measure The next query might help
This Time NonEmpty Produces Different Results
The NonEmpty function (unlike the Non Empty operator) accepts an extra parameter Here the parameter is Internet Order Quantity for the first query, and for the second query it s Reseller Sales Amount
Syntax
-- nonempty with a measure specified for the empty test select {[Measures][Internet Order Quantity] ,[Measures][Reseller Sales Amount]} on columns, nonempty({[Date][Calendar][Calendar Year]},[Measures] [Internet Order Quantity]) on rows from [Adventure Works] where [Product][Product Categories][Category][Accessories] -- nonempty with a different measure specified for the empty test select {[Measures][Internet Order Quantity] ,[Measures][Reseller Sales Amount]} on columns,
11: Not All There: Dealing with Empty Cells
nonempty({[Date][Calendar][Calendar Year]}, [Measures][Reseller Sales Amount]) on rows from [Adventure Works] where [Product][Product Categories][Category][Accessories]
Result
Analysis
At last! If you examine the result from the first query, it finally displays the answer we were expecting earlier The empty cells for CY 2001, CY 2002, and CY 2006 for Internet Order Quantity are hidden If you were to remove the Reseller Sales Amount from the Columns axis, you would arrive at the same results for Internet Order Quantity The second parameter for NonEmpty is the measure to test for emptiness it s looking for empty cells for Internet Order Quantity The second query tests Reseller Sales Amount for emptiness When you look at the Internet Order Quantity column, you will notice that the output is the same as when we first used the NonEmpty function a few queries ago To verify this, try removing Reseller Sales Amount from the Columns axis Finally, here s an explanation The Non Empty operator removes empty cells for whichever measure you incorporate into the query The NonEmpty function removes empty cells for whichever measure you include as a second parameter to the function If you omit the second parameter, the function will test the default measure (unless another measure is specified in the Where clause) for the cube for emptiness The default measure for this cube happens to be Reseller Sales Amount You can test this by writing a [Measures]DefaultMember query, as shown here:
Select [Measures]defaultmember on columns from [Adventure Works]
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12
Smiley Faces: Working with Key Performance Indicators (KPIs)
Practical MDX Queries for Microsoft SQL Ser ver Analysis Ser vices 2008
ey performance indicators (KPIs) are a vital part of business intelligence At a glance, you can see how well you are doing without having to dig down and analyze individual metrics They provide a high-level overview of results and of results against targets In this chapter we explore using, modifying, formatting, and creating KPIs in MDX Key concepts KPI value, goal, status, and trend
Keywords Select, KPIValue, KPIGoal, KPIStatus, KPITrend, format_string, With Member, currentmember, Create KPI, VBA!Format
Selecting KPIs
If you have KPIs (key performance indicators) as part of your cube design back in BIDS, you can select them in an MDX query If you don t have existing KPIs, you can create them as part of your query You will see how to do this shortly
Syntax
-- selecting existing KPIs select crossjoin([Date][Fiscal][Fiscal Year][FY 2003], {KPIValue("Product Gross Profit Margin"), KPIGoal("Product Gross Profit Margin"), KPIStatus("Product Gross Profit Margin")}) on columns, [Product][Product Categories][Category] on rows from [Adventure Works]
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