Another point is the overreaction among the cognoscenti: so many words about open source leveraging the tools and allowing the masses to focus on real-life problems, then the rage against the end-users mocked as data-monkeys? Most industries do not need data science at all and, if the case, a very simple 80/20 approach solves all their problems. It happens the 80/20 approach is within the reach of every data-monkey able to clean and normalize datasets, set up Anaconda with Scikit, theano, xgboost, do some ensembling and deploy to AWS for semi-intensive tasks. You all as an industry wanted that for years, so what now?