I need to create a KPI similar to the DeepSee.Model.KPIs.DemoTrendLines kpi in Samples. This kpi supports a scorecard widget with a trend line. It shows patient counts by city with a trend line of the count of patients over a decade. What I want is to show the trend line based on the average allergy score ([Measures].[Avg Test Score]). A pivot table query that shows the data I would want to base the trend line on is:
Let's say I have a persistent class Sales. I need to create a report that shows the amount of sales for each branch. By simply using the class Sales for the source of the cube, I can show what I want with one little exception - the branches that did not have any sales are not shown. Is there a way around that that does not involve creating a whole new table just for this cube or using a Data connector (they have horrible documentation and I am unable to figure out how to use them properly)?
How to setup dollar ranges to get the number of patient accounts. So, I want to capture the number of patient accounts based on the original balance of:
0 to 499
500 to 999
1000 to 2499
5000 to 9999
10000 to 24999
25000 to 49999
50000 to 74000
75000 to 99999
Hi! I am working on a project and I am facing a weird problem. I have created an MDX using Analyzer. This MDX executes very fast. I am trying to automate its execution with %DeepSee.ResultSet and the query never returns:
Set tSC = oMDX.%PrepareMDX(tMDX)
Set tSC = oMDX.%Execute()
What could be causing %Execute() to take so long to run while Analyzer is responding fast?
I want to have a generic PercentOfAll measure that can be used for any dimension of the cube. This PercentOfAll should act like Count, but instead of showing the number of rows in a cell, it will show the percentage (100*number of rows for that member/all rows) .It should not matter what dimension is being viewed. Ex
There are a total of 100 rows in the source class.