It was exciting to see the launch of the beta version of IBM's Watson Analytics. The interface is highly intuitive, and the visualization of the results is brilliant.
However, I must point out a fundamental flaw in the modeling approach presented in Watson Analytics. Throughout the entire site and all its video tutorials, there is a consistent conflation of statistical and causal concepts. For example, prediction, explanation, association, and impact are all presented indistinguishably. There are countless instances in Watson where measures of association are falsely labeled with causal descriptions.