Data Non Normal

A challenge we often encountered, good examples of how to address it in this article   What if your Data is not Normal? in Towards Data Science  

I Add:    A lot of hand things we usually assume will not work when our data is not normally distributed.   So its important to know. This piece does a good job of surveying the assumptions and alternatives.  I like in particular the list of methods you can no longer be sure of.  The list contains many approaches that are 'understood'  by management and decision makers.

But I will add something that was not covered. If you can't use the common assumption normality , it will typically be harder to convince decision makers that your methods are correct.   So preparation  for that will also be needed.   Depending how the management has been trained, also the measures and risk involved with the decision being made. This may also point to formal tests for normality to be included in analytical process.  "