Forum Discussion
Calculating whether a service level has been met
- Anonymous9 years ago
OK, I found the flaws in my logic. My previous formula ignored row context all over the place. This version gives the results I was attempting before. I don't know if this will work in DirectQuery though, because it includes SUMMARIZE and ADDCOLUMNS. You might be able to get around that if you go into Options and check the box marked "Allow unrestricted measures in DirectQuery Mode."
Pass/Fail = IF( HASONEVALUE(Parts[Part Type]), VAR target = MIN(Parts[Target SLA]) / 100 VAR passfail = ADDCOLUMNS( SUMMARIZE( Parts, Parts[RowID] ), "pass", CALCULATE(MIN(Parts[Lead Time Achieved]) <= MIN(Parts[Lead Time Target])) ) RETURN IF( DIVIDE( COUNTROWS(FILTER(passfail, [pass] = TRUE)), COUNTROWS(passfail) ) >= target, "Pass", "Fail" ), VAR partscores = SUMMARIZE( Parts, Parts[Part Type], "score", VAR tg = CALCULATE(MIN(Parts[Target SLA])) / 100 RETURN IF( DIVIDE( CALCULATE( COUNTROWS( FILTER( ADDCOLUMNS( Parts, "pass", CALCULATE(MIN(Parts[Lead Time Achieved]) <= MIN(Parts[Lead Time Target])) ), [pass] = TRUE ) ) ), CALCULATE(COUNTROWS(Parts)) ) >= tg, "Pass", "Fail" ) ) RETURN FORMAT( DIVIDE( CALCULATE( DISTINCTCOUNT(Parts[Part Type]), FILTER(partscores, [score] = "Pass") ), DISTINCTCOUNT(Parts[Part Type]) ), "0%" ) & " Passed" )
It's Friday afternoon. Time to get really goofy.
This version returns the expected Pass/Fail score for each Part Type. But on any total/subtotal lines that represent multiple part types, it returns the percent of represented parts that passed overall:
Pass/Fail = VAR passfail = ADDCOLUMNS( SUMMARIZE( Parts, Parts[RowID] ), "pass", CALCULATE(MIN(Parts[Lead Time Achieved]) <= MIN(Parts[Lead Time Target])) ) RETURN IF( HASONEVALUE(Parts[Part Type]), VAR target = MIN(Parts[Target SLA]) / 100 RETURN IF( DIVIDE( COUNTROWS(FILTER(passfail, [pass] = TRUE)), COUNTROWS(passfail) ) >= target, "Pass", "Fail" ), VAR partscores = SUMMARIZE( Parts, Parts[Part Type], "score", VAR target = MIN(Parts[Target SLA]) / 100 RETURN IF( DIVIDE( COUNTROWS(FILTER(passfail, [pass] = TRUE)), COUNTROWS(passfail) ) >= target, "Pass", "Fail" ) ) RETURN FORMAT( DIVIDE( CALCULATE( DISTINCTCOUNT(Parts[Part Type]), FILTER(partscores, [score] = "Pass") ), DISTINCTCOUNT(Parts[Part Type]) ), "0%" ) & " Passed" )
Wow Anonymous have you heard of decaf :smileylol: I'll review both of these later today or tomorrow :smileyhappy:
- Anonymous9 years agoNot applicable