Measuring group homogeneity

I am trying to answer a hypothesis wherein companies with more heterogenous boards are more compliant and less likely to attempt fraud than companies with homogenous boards.

So in effect I have a dataset containing hundreds of thousands of companies and details about the people behind each and everyone of them (such as age, sex, income level etc)

Now I need to find a way to quantify similarity. The one approach I have tried is to calculate cosine distance from …

age boards companies datascience dataset fraud hypothesis income people sex