What does real data analysis look like?

What does real data analysis look like? Hilary Mason and Chris Wiggins set out these stages, as the OSEMN model ("which rhymes with possum"):

* Obtain;
* Scrub;
* Explore;
* Models;
* iNterpret.

http://www.dataists.com/2010/09/a-taxonomy-of-data-science/

In a 2013 talk, Mason notes that these stages may seem obvious now, but that no-one had previously thought to write them down: https://www.youtube.com/watch?v=fZuDwiM1XBQ

My feeling is that standard statistics courses for scientists talk a lot about models and interpretation, but very little about the other stages. Even for the Models phase, we don't teach much about selecting or designing models.

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