Rolling average last 3 months

[jayjay0306]

Hi,
I hope you can help me with a shallange:
I have a Power BI report, where I need to make a measure (I don't have access to the source table) which calculates the rolling average for the last 3 months.
And the rolling average shall be made on the sum per month (not rolling on the date value).
Example:
in the table below, I have the "Daily Sales-Sum per month" in 2019. The datasource is one table (not a datamodel with dimensions and facts), where leaf-level is transactions by date.
I need the rolling average on the monthly sum-values.

I have tried to make the measure (please see below), but the result is wrong(table above).

DAX-Script:

--------------------------------------
Rolling Average 3 months =
VAR LastDate_ = LASTDATE(Table[Calendar Day])
RETURN
AVERAGEX(
DATESINPERIOD(
'Table'[Calendar Day];
LastDate_; -3; MONTH);
SUMX(
KEEPFILTERS(VALUES('Table'[Month]));
CALCULATE(SUM('Table'[Sales]))
)
)
---------------------------------------------

the result I need is this (here shown for the last two months, as an example):

Any ideas? All inputs will be greatly appreciated.

Thanks.

Br,

JayJay

[Anonymous · Accepted solution]

How about this?

Rolling Average 3 months =
VAR LastDate_ =
    LASTDATE ( Table[Calendar Day] )
RETURN
    CALCULATE (
        AVERAGEX ( VALUES ( 'Table'[Month] ); CALCULATE ( SUM ( 'Table'[Sales] ) ) );
        FILTER (
            ALL ( Table );
            [Calendar Day] <= LastDate_
                && [Calendar Day] > DATEADD ( LastDate_; -3; MONTH )
        )
    )

Similar to yours, but i changed the table for AVERAGEX to iterate over to the month values. Also changed the calcualte filter a little bit.

[yash09]

i m using dax for rolling avg 3 month and that gets is result 

Total sales 3MA = AVERAGEX(

         WINDOW(

            -[NR MONTHS  Value],REL,0,REL,

            SUMMARIZE(

                ALLSELECTED(dimDate),

                dimDate[Year],

                dimDate[Month],

                dimDate[Month Number]

            ),

             ORDERBY(dimDate[Year],ASC,dimDate[Month],ASC)

         ),[TOTAL SALES]

)

[WallyWallWal]

I am not having any luck with this formula.  It keeps erroring out on me and I can't figure out where I am going wrong.  Trying to do 3-month rolling (hopefully dynamic) average.  For month 2021-02, 3 month average should be 15.3%  Can provide more data if needed.  Any help or direction would be welcomed.  Thanks!

[EVIJ]

I am struggling with the same issue. Do you have a solution yet?

[JLincoln]

The Semicolons in the formula should be commas if you're working on it in America. Different syntax.

[WallyWallWal]

@EVIJ I ended up having to ask a coworker who has a brain that works like magic.  He suggested creating a CTE that joins the date table to itself.  Below is the code.  Not sure if this will help, but maybe it will give you some insight.  It did work for my purposes.

WITH ABC AS
(
SELECT
[SurveyCompletedOn]

, case when [Answer] = 'Not at all likely - 0' then 'Detractor'
when [Answer] = '1' then 'Detractor'
when [Answer] = '2' then 'Detractor'
when [Answer] = '3' then 'Detractor'
when [Answer] = '4' then 'Detractor'
when [Answer] = '5' then 'Detractor'
when [Answer] = '6' then 'Detractor'
when [Answer] = '7' then 'Passive'
when [Answer] = '8' then 'Passive'
when [Answer] = '9' then 'Promotor'
when [Answer] = 'Extremely likely - 10' then 'Promotor'
end as 'NPS Scoring'

, ROW_NUMBER()OVER (ORDER BY [SurveyCompletedOn]) AS LINE

FROM [Database]

WHERE [Question] LIKE @SURVEY_QUESTION
and [SurveyCompletedOn] is not null

, NUMBER2 AS
(
SELECT
CONVERT(VARCHAR(7),DATEADD(MONTH,-2,ABC1.SurveyCompletedOn),23) AS '3 MONTH BEGIN'
, CONVERT(VARCHAR(7),ABC1.SurveyCompletedOn,23) AS '3 MONTH END'
, ABC2.[NPS SCORING] AS 'NPS SCORING'
, COUNT(DISTINCT(ABC2.[LINE])) AS 'SCORING'

FROM ABC AS ABC1
    LEFT JOIN ABC AS ABC2
          ON CONVERT(VARCHAR(7),ABC2.SurveyCompletedOn,23) BETWEEN CONVERT(VARCHAR(7),DATEADD(MONTH,-2,ABC1.SurveyCompletedOn),23)

               AND CONVERT(VARCHAR(7),ABC1.SurveyCompletedOn,23)

GROUP BY

   CONVERT(VARCHAR(7),DATEADD(MONTH,-2,ABC1.SurveyCompletedOn),23)
, CONVERT(VARCHAR(7),ABC1.SurveyCompletedOn,23)
, ABC2.[NPS Scoring]

)

SELECT
NUM2.[3 MONTH END]
, SUM(CASE WHEN NUM2.[NPS SCORING] = 'PROMOTOR' THEN NUM2.SCORING ELSE NULL END) AS 'PROMOTOR' 
, SUM(CASE WHEN NUM2.[NPS SCORING] = 'DETRACTOR' THEN NUM2.SCORING ELSE NULL END) AS 'DETRACTOR' 
, CONVERT(NUMERIC(18,2),SUM(CASE WHEN NUM2.[NPS SCORING] = 'PROMOTOR' THEN NUM2.SCORING ELSE NULL END)) / (SUM(NUM2.SCORING)) AS 'PROMOTER 3MTH PERCENT'-- 
, CONVERT(NUMERIC(18,2),SUM(CASE WHEN NUM2.[NPS SCORING] = 'DETRACTOR' THEN NUM2.SCORING ELSE NULL END)) / (SUM(NUM2.SCORING)) AS 'DETRACTOR 3MTH PERCENT'--

,(CONVERT(NUMERIC(18,2),SUM(CASE WHEN NUM2.[NPS SCORING] = 'PROMOTOR' THEN NUM2.SCORING ELSE NULL END)) / (SUM(NUM2.SCORING)) - CONVERT(NUMERIC(18,2),SUM(CASE WHEN NUM2.[NPS SCORING] = 'DETRACTOR' THEN NUM2.SCORING ELSE NULL END)) / (SUM(NUM2.SCORING))) AS 'NPS ROLLING 3-MONTH AVERAGE PERCENTAGE' --

FROM NUMBER2 NUM2

GROUP BY
NUM2.[3 MONTH END]

[arutsjak90]

Hi, I have similar issue, I tried to modify you DAX but I have received circular error, could you help to solve it? I have changed first line after FILTER because I need to calculate rolling 3months average per Plant. My column Date, contains "real" date dd/mm/yyyy, (first day of each month)

3MonthsRollingAverage =

VAR LastDate_ =

LASTDATE ( COGSTotal[Date])

RETURN

CALCULATE (

AVERAGEX ( VALUES (COGSTotal[Date]), CALCULATE ( SUM ( COGSTotal[Total COGS] ) ) ),

FILTER (

COGSTotal,

COGSTotal[Plant]=EARLIER(COGSTotal[Plant]) &

[Date] <= LastDate_

&& [Date] > DATEADD ( LastDate_, -3, MONTH )) )

[Anonymous · Accepted solution]

How about this?

Rolling Average 3 months =
VAR LastDate_ =
    LASTDATE ( Table[Calendar Day] )
RETURN
    CALCULATE (
        AVERAGEX ( VALUES ( 'Table'[Month] ); CALCULATE ( SUM ( 'Table'[Sales] ) ) );
        FILTER (
            ALL ( Table );
            [Calendar Day] <= LastDate_
                && [Calendar Day] > DATEADD ( LastDate_; -3; MONTH )
        )
    )

Similar to yours, but i changed the table for AVERAGEX to iterate over to the month values. Also changed the calcualte filter a little bit.

[jytech]

@Anonymous what if I have a separate Date Table separate from my Facts Table?

[Anonymous]

@jytech, it should be the same as long as you have set up a relationship between the tables. This is the preferred way to set up the model. Then filter the date table instead of the fact table in the measure.

[jayjay0306]

Hi Ulf,

Brilliant! it works. 🙂

Thanks a lot.

The only remark I have is, that the rolling average doesn't react to the filters I have in the PBI report.

The value "Table[Sales]" is part of you calculation, but if I fx.filter on "Sales area" the "Sales" per month respond accordingly, but the rolling average remains the same. I find this a bit strange.

Can you tell me why?any ideas?

Thanks anyway.

Br,

Jakob

[Anonymous]

Yes, it's because of ALL(Table) in the filter. All filters are removed to be able to access previous months. It should be possible to modify the CALCULATE / FILTER expression to only remove the filters on date/year/month. To do that easier and better I suggest creating a connected date table instead of having the date columns in the "fact" table. Dimensional models are usually easier to work with in Power BI! Then you can do the same thing as now but on the date table  - ALL([NewDateTable]) instead of ALL(Table).

[jayjay0306 · Accepted solution]

Excellent Ulf, that solved it 🙂

Thanks.

[Anonymous]

Good to hear the problem is solved! By the way, you should mark my answer as the answer, not your own post... 🙂

[Greg_Deckler]

I wrote this, Rolling Months Quick Measure: https://community.powerbi.com/t5/Quick-Measures-Gallery/Rolling-Months/m-p/391499#M124

Also, if that doesn't work, see if my Time Intelligence the Hard Way provides a different way of accomplishing what you are going for.

https://community.powerbi.com/t5/Quick-Measures-Gallery/Time-Intelligence-quot-The-Hard-Way-quot-TIT...

[jayjay0306]

Hi Greg,

thanks for your input. much appreciated. The solution didn't quite solve my problem, but I got wiser on DAX. 🙂