Instead it's not clear to me who the target audience is. The phrasing makes it appear to be targeted at analysts and not their business partners. Assuming that to be the case, senior analysts are substantially beyond the level this article is written at (or should be).
Entry level analysts need close supervision to prevent them from making these, and other, mistakes. The examples the author draws (specifically cheese vs. infant mortality and the google flu approximations) don't do a good job at identifying when this issue arises. For the cheese example it's unclear if the phenomenon is real or not (the magnitude of the variation in infant death may actually be significant, if the cheese consumption variation was small then there would be a different story). The author does nothing to help the reader resolve this.
In the Google flu example it's only through hindsight (and colossal failure) that the author identifies the lack of validity in Google's model.
I agree 100% with his point but I don't think the article is providing much value because essentially the author is simply saying: "be aware, this type of problem exists out there..." without providing information necessary to navigate/resolve the problem.