Assistance Required - Power BI Visual Matrix

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To solve this challenge in Power BI Matrix where:

• Rows: Assignment Group
• Columns: Year-Month (e.g., "2025-04", "2025-05")
• Values: SLA %
• Extra Column: SLA% 3M (should show as a separate column, not repeat under each month)

We need to display a static column (SLA% 3M) in the matrix, unaffected by the column grouping (Month-Year), which Power BI matrix doesn’t directly support by default. However, here's how we can solve it with a workaround.

Solution:

1. Create a New Table for Matrix Columns
   We’ll use a disconnected table to define the columns we want in the matrix.
   "Matrix Columns =
   DATATABLE("ColumnLabel", STRING, {
   {"Monthly SLA%"},
   {"SLA% 3M"}
   })
   "
   
   
2. Create a Measure to Return SLA Values Conditionally
   Now write a measure that handles both monthly SLA and the 3-month SLA logic:
   
   "SLA % Matrix Display =
   SWITCH(
   SELECTEDVALUE('Matrix Columns'[ColumnLabel]),
   
   "Monthly SLA%",
   CALCULATE(
   [SLA %],
   REMOVEFILTERS('Matrix Columns')
   ),
   
   "SLA% 3M",
   CALCULATE(
   [SLA % 3M],
   REMOVEFILTERS('Date'), // or 'Calendar'[YearMonth], depending on your model
   REMOVEFILTERS('Matrix Columns')
   )
   )
   "
   
   
3. Create the Matrix Visual
   Use the following fields:

• Rows: Assignment Group
• Columns: Matrix Columns[ColumnLabel]
• Values: SLA % Matrix Display

The problem arises because you're trying to show a measure independent of the column slicer, but the Power BI matrix groups values based on the column hierarchy.

By creating a custom column header table, and conditionally calculating measures using SELECTEDVALUE, you bypass this behavior and control what appears under each column.

If [SLA % 3M] isn't defined yet, here’s an example of how you can write one:

"SLA % 3M =
CALCULATE(
AVERAGE('YourTable'[SLA %]),
DATESINPERIOD('Date'[Date], MAX('Date'[Date]), -3, MONTH)
)
"

Modify logic based on your business rules.

If this solution works for you, please consider accepting it as the solution and giving it a kudos — it helps others find the answer more easily and supports the community.

Hi Lakhani04 

I suggest the following : 

SLA % 3M = 
VAR MaxDate =
    CALCULATE(
        MAX(Data[Date]),
        REMOVEFILTERS(Data) 
    )
VAR Last3Months =
    DATESINPERIOD(
        Data[Date],
        MaxDate,
        -3,
        MONTH
    )
RETURN
    CALCULATE(
        AVERAGE(Data[SLA %]),
        FILTER(
            ALL(Data),  
            Data[Date] IN Last3Months &&
            Data[Assignment Group] = MAX(Data[Assignment Group])
        )
    )

Result tested with slicer ( table with percentages not affected by slicer - for previous 3 months > as per max date of the data ) : 

Below is some further information so that you can adjust the measure if required : 

-MaxDate gets the latest date from the entire table, ignoring any filters (like slicers).

-Last3Months creates a list of dates from the last 3 months up to that MaxDate.

-RETURN calculates the average SLA % only for rows in those 3 months and only for the currently selected assignment group.

Hope this helps

Antonio 

Lakhani04  Hey,
I will create below measure . I am assume that you these measure SLA met and total case as measure based on that SLA % 3months is getting calculated.

SLA % Last 3 Months =
VAR MaxDateInModel = CALCULATE(MAX('Date'[Date]), ALL('Date'))
VAR StartDate = EDATE(MaxDateInModel, -2) -- last 3 months: includes current month and previous 2 months

// Filter for last 3 months ignoring slicers on Month and Year
VAR Last3MonthsDates =
FILTER(
ALL('Date'),
'Date'[Date] >= StartDate
&& 'Date'[Date] <= MaxDateInModel
)

// Calculate sums within last 3 months, ignoring month/year slicers but respecting row context (grouping)
VAR MetSLA3M =
CALCULATE(
SUM('SLAData'[Met SLA]),
KEEPFILTERS(Last3MonthsDates)
)

VAR TotalCases3M =
CALCULATE(
SUM('SLAData'[Total Cases]),
KEEPFILTERS(Last3MonthsDates)
)

RETURN
DIVIDE(MetSLA3M, TotalCases3M, 0)

Thanks

Harish M 

Kindly give kudos and accepts it as solution as if its resolve your problem