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Hello friends,
I need to calculate an agerage age (in days) of all open customer cases - historically.
Below is the format of my table.
Until a case has a closed date - it is considered open.
I am struggling to calculate the average age with disconnected dimention.
For the first case for example - I need it to be 1 on 02-Jan-18, 2 on 03-Jan-18, 20 on 21-Jan-18, etc.
When the second case is also open - it should lower the average. So on 22-Jan-18 the calculation should be (21+1)/2 = 11 days.
I tried something like:
CaseId | CreatedDate | ClosedDate |
123 | 01/01/2018 | 30/05/2018 |
456 | 21/01/2018 | 14/06/2018 |
789 | 10/02/2018 | |
951 | 02/03/2018 | 14/07/2018 |
Solved! Go to Solution.
Hi @michaelshparber ,
Try the following measure:
Average = DIVIDE ( SUMX ( FILTER ( 'Case'; 'Case'[CreatedDate] <= MAX ( 'Calendar'[Date] ) && ( 'Case'[ClosedDate] >= MAX ( 'Calendar'[Date] ) || 'Case'[ClosedDate] = BLANK () ) ); DATEDIFF ( 'Case'[CreatedDate]; MAX ( 'Calendar'[Date] ); DAY ) + 1 ); CALCULATE ( DISTINCTCOUNT ( 'Case'[CaseId] ); FILTER ( 'Case'; 'Case'[CreatedDate] <= MAX ( 'Calendar'[Date] ) && ( 'Case'[ClosedDate] >= MAX ( 'Calendar'[Date] ) || 'Case'[ClosedDate] = BLANK () ) ) ) )
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsHi @michaelshparber ,
Try the following measure:
Average = DIVIDE ( SUMX ( FILTER ( 'Case'; 'Case'[CreatedDate] <= MAX ( 'Calendar'[Date] ) && ( 'Case'[ClosedDate] >= MAX ( 'Calendar'[Date] ) || 'Case'[ClosedDate] = BLANK () ) ); DATEDIFF ( 'Case'[CreatedDate]; MAX ( 'Calendar'[Date] ); DAY ) + 1 ); CALCULATE ( DISTINCTCOUNT ( 'Case'[CaseId] ); FILTER ( 'Case'; 'Case'[CreatedDate] <= MAX ( 'Calendar'[Date] ) && ( 'Case'[ClosedDate] >= MAX ( 'Calendar'[Date] ) || 'Case'[ClosedDate] = BLANK () ) ) ) )
Regards,
MFelix
Regards
Miguel Félix
Proud to be a Super User!
Check out my blog: Power BI em PortuguêsAmazing! Thank you very much @MFelix !
It is working!
Later I'll try to make this work directly with AVERAGEX - I think it is also possible...
Thanks a lot for your quick help!
Have a great wekend!
Michael
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