I think what I'm talking about here is that any analytical process is a triumvirate. You have the subject matter expertise, you have the statistical skills, and you have the technical science skills. Those data science people need to be pointed in the right direction. That's what your subject matter expert is. He's not somebody who is going to be doing the work, but he's going to know enough about it to be able to tell people what to do and to be able to work with those technical people who, frankly, often aren't extroverted in nature. They are very good at doing work but not necessarily....
You know, one of the big problems with statistics is, one, you do statistical studies on things that everybody knows the answer to anyways, so why did you bother? Or two, you find a really neat answer to a really cool problem that has no value whatsoever.
That's how you train it, but the engines, tools, and machines are there, the super computers that you need to process. The knowledge to build a data centre and to manage enterprise processes is there. Why reinvent that? Help them, inspire them, motivate them, and give them a purpose. You would be amazed at what they can do.