Visualizing Throughput Against Turnaround

Hi,

Without seeing the Y-axis (or axes) on your combo chart I can't tell whether from June to July you really are going from 20% to 80%, or whether the line is going from 31% to 34%, but the minimum and maximum values on the Y axis are 30 and 35.

If the latter then this is easily fixed by setting the minimum value on your secondary Y axis to zero (presumably throughput can never be less than zero).

If (as I suspect) it's the former, then I would remove the volatility by aggregating over a longer time period. I would keep the combo chart and create a new measure showing the average over the quarter. Something like this, assuming you have a date table:

ThroughPutQ = var currMonth = SELECTEDVALUE('Date_V'[Month Number])
return
if(currMonth <= 3,
CALCULATE([ThroughPut], all('Date_V'[MMM]),'Date_V'[Month Number] <= 3),
if(currMonth <= 6,
CALCULATE([ThroughPut], all('Date_V'[MMM]),'Date_V'[Month Number] >=4,'Date_V'[Month Number] <= 6),
if(currMonth <= 9,
CALCULATE([ThroughPut], all('Date_V'[MMM]),'Date_V'[Month Number] >=7,'Date_V'[Month Number] <= 9),
CALCULATE([ThroughPut], all('Date_V'[MMM]),'Date_V'[Month Number] >= 10)
)))

Alternatively you could also use a rolling average, which would also smooth the volatility, but it might be less clear to your users what that represents if they're expecting it to be strictly monthly.  A flat line for the quarter is visually unambiguous.

I don't think an alternative visual is going to do it for you as if your measure is volatile, then it will show as volatile in any alternative visual.

Finally, consider keeping the volatility in.  It may be visually unappealing, but it is an accurate reflection of the data and tells a story in its own way.