I find this story very interesting indeed.
Nevertheless, the article raises a few questions for me such as:
1 - what context are we talking about (e.g., finance, investment, social media, marketing industry/department-type jobs as data analyst)?
2 - should I worry about data preparation or better about if those people even understand what good research design is made off - we all remember the garbage in garbage out principle
3 - if people do C+ programming as data analyst they are maybe data technicians or statistics/programming technicians but data analysists?
Maybe we are confused and this is just a cultural issue but I sure wish
this things would have been addressed in the article.
It is great to be a consulting to a banker but unless you have been a banker before, do your really know what you are talking about.
PS. ..... there is research which is based on sound methodology that then gives us data. The latter empower us to make inferences from our samples and generalize to the population.... we may then be able to draw some conclusions.... but predicting the future can be a risky proposition. And I surely do not believe web analytics are predictive in any way unless with have a representative sample that most organizations or managers are unwilling to pay for.