Alternative measure to get the same result of quick measure rolling avg 3m.

[Nun]

Hello,

I am using the quick measure Rolling avg 3 months.

The formula is:

IF(     ISFILTERED('Posting date'[Date]),     ERROR("Time intelligence quick measures can only be grouped or filtered by the Power BI-provided date hierarchy or primary date column."),    

 VAR __LAST_DATE = ENDOFMONTH('Calendar'[Date].[Date])   

  VAR __DATE_PERIOD =         DATESBETWEEN(             'Calendar'[Date].[Date],             STARTOFMONTH(DATEADD(__LAST_DATE, -3, MONTH)),             __LAST_DATE         )     RETURN         AVERAGEX(             CALCULATETABLE(                 SUMMARIZE(                     VALUES('Calendar'),                     'Calendar'[Date].[Year],                     'Calendar'[Date].[QuarterNo],                     'Calendar'[Date].[Quarter],                     'Calendar'[Date].[MonthNo],                     'Calendar'[Date].[Month] ),                 __DATE_PERIOD             ),             

CALCULATE(                 SUM('sales'[Amount]),                 ALL('Calendar'[Date].[Day])             )         ) )

When I export in Excel in Power BI service to analyze, In pivot table fields, using as filter Calendar date and as value the rolling avg 3m I dont see any value.

Thanks!

[amitchandak · Accepted solution]

@Nun , You can try with date table like the example given below

Take line level Avg

Rolling 3 = CALCULATE(Average(Sales[Sales Amount]),DATESINPERIOD('Date'[Date ],MAX('Date'[Date ]),-3,MONTH))

Take sum and divide by month. Month level Avg

Rolling 3 = divide( CALCULATE(sum(Sales[Sales]),DATESINPERIOD('Date'[Date ],MAX('Date'[Date]),-3,MONTH)) ,
CALCULATE(distinctCOUNT('Date'[Month Year]),DATESINPERIOD('Date'[Date],MAX('Date'[Date]),-3,MONTH), not(isblank((Sales[Sales])))))

[Nun]

@amitchandak 

I solved the issue, R at the end of the value is due to the format. Power BI converted, automatically the value in Currency format, when the correct is Decimal number. 

Thanks a lot!

[Nun]

@amitchandak 

I created both the measure you suggested, but I get a value number ending with R. (for example 15879157.9867R) 

Thanks