Forum Discussion
DAX FUNCTION HELP- Calculating SLA
Hi All,
I need help with calculating SLA% for below listed data using a dax function
Sample Data:
Total Closed Ticket = 100
Closed 2 Days = 70
5 Days = 20
10 Days= 10
Tips: This is how I'm calculating the SLA in Excelsheet:
2 Days/ Total Closed = 2 Days%
2 Days+5 Days/Total Closed = 5 Day% and so on.
Thank you in advance 💯💯
Hi dheerendram ,
Please try to create measure with below dax formula:
3 Days = VAR tmp = FILTER ( ALL ( 'Table' ), [Status] = "Closed" ) VAR tmp1 = FILTER ( ALL ( 'Table' ), [Ageing] <= "3 Days" ) VAR _a = COUNTROWS ( tmp ) VAR _b = COUNTROWS ( tmp1 ) VAR _result = DIVIDE ( _b, _a ) RETURN FORMAT ( _result, "percent" )4 Days = VAR tmp = FILTER ( ALL ( 'Table' ), [Status] = "Closed" ) VAR tmp1 = FILTER ( ALL ( 'Table' ), [Ageing] <= "4 Days" ) VAR _a = COUNTROWS ( tmp ) VAR _b = COUNTROWS ( tmp1 ) VAR _result = DIVIDE ( _b, _a ) RETURN FORMAT ( _result, "percent" )Please refer the attached .pbix file.
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
5 Replies
Hi dheerendram ,
Please try to create measure with below dax formula:
3 Days = VAR tmp = FILTER ( ALL ( 'Table' ), [Status] = "Closed" ) VAR tmp1 = FILTER ( ALL ( 'Table' ), [Ageing] <= "3 Days" ) VAR _a = COUNTROWS ( tmp ) VAR _b = COUNTROWS ( tmp1 ) VAR _result = DIVIDE ( _b, _a ) RETURN FORMAT ( _result, "percent" )4 Days = VAR tmp = FILTER ( ALL ( 'Table' ), [Status] = "Closed" ) VAR tmp1 = FILTER ( ALL ( 'Table' ), [Ageing] <= "4 Days" ) VAR _a = COUNTROWS ( tmp ) VAR _b = COUNTROWS ( tmp1 ) VAR _result = DIVIDE ( _b, _a ) RETURN FORMAT ( _result, "percent" )Please refer the attached .pbix file.
Best regards,
Community Support Team_Binbin Yu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.Anonymous Thank you so much. It worked!!
We want to help you but your description is too vaugue. Please write it again clearly.
Provide example input data as table text (not a screen print) so we can import the data to build a solution for you.
Also provide the example desired output, with a clear description of the process flow.
Remember not to share private data ... we don't want you to get into trouble. 😧
Take time and care to use the same table and field names in the input, output and description so we can understand your problem and help you.
Try keep it simple and ask one question per ticket.
You will get a quick response if you put time, care and effort into writing clear problem descriptions.Vaugue descriptions can waste your time and ourtime.
Look foward to helping you when the above information is forthcoming
I hope I'm making more sense now. Here;s the sample data. "I calculated the ageing based on "networkingdays" and "swtich" to reflect the numbers as " Days."
Sample Ticket ID Created on Closed on Status Ageing 24 11/4/2023 11/8/2023 Closed 3 Days 25 11/5/2023 11/9/2023 Closed 4 Days 26 11/6/2023 11/10/2023 Closed 5 Days 27 11/7/2023 11/11/2023 Closed 4 Days 28 11/8/2023 11/12/2023 Closed 3 Days 29 11/9/2023 11/13/2023 Closed 3 Days 30 11/10/2023 11/14/2023 Closed 3 Days 31 11/11/2023 11/15/2023 Closed 3 Days Thank you for quick response.
It makes no sense. 🙄
Please put time and effort into writing questions.
Provide example input and outputs with clear consoe descripton.
Ask a manager or friend to help you if you dont know how.
Otherwise is wastes your time and ours.
We want to help.
