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Anonymous
Not applicable

Amend current DAX Measure to give previous month values

Hi Experts

 

how can i change the following measure to give me previous month

P1 Emergency KPI =
VAR ClosedP1Jobs = CALCULATE(COUNT('All Data'[WO No]), filter('All Data', and('All Data'[Priority]="e", month('All Data'[Report Date]) = month(now())) && 'All Data'[Source Table] = "completed"))

VAR p1JobsMTD = CALCULATE(count('All Data'[WO No]), filter('All Data', and('All Data'[Priority]="e", and(or('All Data'[Source Table] = "Reactive", 'All Data'[Source Table] = "Completed"), month('All Data'[Report Date]) = month(now() )))))

return closedp1Jobs/p1JobsMTd
1 ACCEPTED SOLUTION
v-yangliu-msft
Community Support
Community Support

Hi  @Anonymous ,

I created some data:

vyangliumsft_0-1675412904591.png

Here are the steps you can follow:

1. Create measure.

P1 Emergency KPI =
VAR ClosedP1Jobs =
    CALCULATE (
        COUNT ( 'All Data'[WO No] ),
        FILTER (
            ALL ( 'All Data' ),
            AND (
                'All Data'[Priority] = "e",
                'All Data'[Report Date]
                    >= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 )
                    && 'All Data'[Report Date]
                        <= EOMONTH ( DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ), 0 )
                    && 'All Data'[Source Table] = "completed"
            )
        )
    )
VAR p1JobsMTD =
    CALCULATE (
        COUNT ( 'All Data'[WO No] ),
        FILTER (
            'All Data',
            OR (
                'All Data'[Source Table] = "Reactive",
                'All Data'[Source Table] = "Completed"
            )
                && AND (
                    'All Data'[Report Date]
                        >= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ),
                    'All Data'[Report Date]
                        <= EOMONTH ( DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ), 0 )
                        && 'All Data'[Priority] = "e"
                )
        )
    )
RETURN
    DIVIDE ( ClosedP1Jobs, p1JobsMTD )

2. Result:

vyangliumsft_1-1675412904592.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

View solution in original post

2 REPLIES 2
v-yangliu-msft
Community Support
Community Support

Hi  @Anonymous ,

I created some data:

vyangliumsft_0-1675412904591.png

Here are the steps you can follow:

1. Create measure.

P1 Emergency KPI =
VAR ClosedP1Jobs =
    CALCULATE (
        COUNT ( 'All Data'[WO No] ),
        FILTER (
            ALL ( 'All Data' ),
            AND (
                'All Data'[Priority] = "e",
                'All Data'[Report Date]
                    >= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 )
                    && 'All Data'[Report Date]
                        <= EOMONTH ( DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ), 0 )
                    && 'All Data'[Source Table] = "completed"
            )
        )
    )
VAR p1JobsMTD =
    CALCULATE (
        COUNT ( 'All Data'[WO No] ),
        FILTER (
            'All Data',
            OR (
                'All Data'[Source Table] = "Reactive",
                'All Data'[Source Table] = "Completed"
            )
                && AND (
                    'All Data'[Report Date]
                        >= DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ),
                    'All Data'[Report Date]
                        <= EOMONTH ( DATE ( YEAR ( TODAY () ), MONTH ( TODAY () ) - 1, 1 ), 0 )
                        && 'All Data'[Priority] = "e"
                )
        )
    )
RETURN
    DIVIDE ( ClosedP1Jobs, p1JobsMTD )

2. Result:

vyangliumsft_1-1675412904592.png

 

Best Regards,

Liu Yang

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly

amitchandak
Super User
Super User

@Anonymous , if you need based on today

 

MTD Today =
var _min = eomonth(today(),-1)+1
var _max = today()
return
CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

LMTD Today=
var _min = eomonth(today(),-2)+1
var _max1 = today()
var _max = date(year(_max1),month(_max1)-1, day(_max1))
return
CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

LYMTD Today =
var _min = eomonth(today(),-13)+1
var _max1 = today()-1
var _max = date(year(_max1)-1,month(_max1), day(_max1))
return CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

MTD Yesterday =
var _max = today() -1
var _min = eomonth(_max,-1)+1
return CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

This Month Today =
var _min = eomonth(today(),-1)+1
var _max = eomonth(today(),0)
return CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

Last Month Today =
var _min = eomonth(today(),-2)+1
var _max = eomonth(today(),-1)
return CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

Same Month Last Year Today =
var _min = eomonth(today(),-13)+1
var _max = eomonth(today(),-12)
return CALCULATE([Net], FILTER('Date','Date'[Date] >=_min && 'Date'[Date] <= _max))

 

 

 

If you need based on selected date use time intelligence

MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
last month Sales = CALCULATE(SUM(Sales[Sales Amount]),previousmonth('Date'[Date]))
MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
last month Sales = CALCULATE(SUM(Sales[Sales Amount]),previousmonth('Date'[Date]))

 

 

Or try offset -

Power BI Offset Compare Categories, Time Intelligence MOM, QOQ, and YOY: https://youtu.be/5YMlkDNGr0U

 

Time Intelligence, Part of learn Power BI https://youtu.be/cN8AO3_vmlY?t=27510
Time Intelligence, DATESMTD, DATESQTD, DATESYTD, Week On Week, Week Till Date, Custom Period on Period,
Custom Period till date: https://youtu.be/aU2aKbnHuWs&t=145s

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