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Hi,
I have a calculated measure, counting the number of active supporters, which works well and returns an answer which is realistic but unfortunatly slightly different to the answer i get directly from SQL.
The Id of each of these individuals is available in the model but as there are 121k I cannt see which ones as the visulisations arent designed for this.
Is there a way to export the results of a calculated measure into a table so I can export out of BI and compair against my SQL derived list?
Result:
MEasure
Active S = calculate (
sum('Fact All Commitments'[Conversion (Committed Giving)]), filter('Commitment Codes','Commitment Codes'[Commitment Code]="S"
|| 'Commitment Codes'[Commitment Code]="S Corpemp"), filter(all('Fact All Commitments'),
'Fact All Commitments'[Startdate <=max('Date Dimension'[Current_month_end_Date])
&& ('Fact All Commitments'[ENDDATE]>max('Date Dimension'[Current_month_end_Date])
|| 'Fact All Commitments'[ENDDATE]=blank()))
)
Solved! Go to Solution.
Hi @Greenwoodr ,
You could publish the report to Power BI Service, then, export the summarized data in visual which is returned by measure to Excel.
Best regards,
Yuliana Gu
Hi @Greenwoodr ,
You could publish the report to Power BI Service, then, export the summarized data in visual which is returned by measure to Excel.
Best regards,
Yuliana Gu
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