Product Report vs Process Report for Non-normal Data

PROCESS Report is used with Continous data that follow a bell curve distribution. Calculations are based on an assumption of normally distributed data. 
while PRODUCT Report apply to Discrete data and therefore can be used for all type of distribution. Calculations are based on the numbers of defects per opportunity.

Dear Donald,
I think the solution for how to do a baseline with non-normal data depends entirely on what sort of non-normality you are talking about. Is it a matter of many outliers ‘on top of’ a further normal distribution, or is the distribution essentially non-normal like for instance lognormal or exponential or even bimodal.
It could also depend on what aspect of the process you are interested in. For instance, I have recently dealt with a process that gave many outliers on top of a distribution that was normal (and very narrow and stabile). I decided to leave the normal distribution for what it was, because my interest was in solving the outliers. The baselining was done on the frequency of occurence of outliers.
If your process is continuous but essentially non-normal, a transformation might work very well to make it normal and do baselining in the conventional way.
kind regards,
Arend