It's a good question, but naw, I don’t really tell stories on clients. Just suffice it to say that there are a lot of people out there who think statistics is primarily a question of finding the “right” formula and plunking numbers into it. In reality, (part of) the value of hiring a professional statistician is that he or she has a sense how likely any given approach is to solve your problem, knows the pros and cons of different models/techniques, knows the embedded assumptions and whether or not they hold or are likely to hold, can explain when and why a model might not work in a given application (the math always "works" but the model might be useless), can suggest ways of collecting data that are financially much more efficient to solve the problem at hand, etc. That’s just off the top of my head.
Lots of people think that just because they are smart and the “formulas” are all publicly available that they can solve the problem – and that *might* be true – but even then they run the risk of solving it in a (financially) inefficient way, ignoring that there are some critical assumptions (that they haven’t checked) that could invalidate the analysis or, worse, seemingly validate the wrong conclusion, or only uncover part of the "story” their data are trying to communicate.... or just getting it plain wrong! Moreover, even among statisticians, it’s best to get one who specializes in whatever area you’re working in. Often a small-sized company relies too heavily on the guy or gal who “did statistics” on some other project in some other sector and is trying too hard to fit sub-optimal techniques to the task at hand. I could go on and on… but I should get back to my own stats! Lol