With apologies to Johnnie Cochran and Joyce Kilmer : “If the model do fit, it don’t prove ****” This was the warning from Trick #1. As a forecaster your job is to produce forecasts – as good as they can reasonably be expected to be – not to fit models

The Spring 2009 Foresight feature on assessing forecastability is a must-read for anyone who gets yelled at for having lousy forecasts. (It should also be read by those who do the yelling, but you’d have to be living in Neverland to believe that will ever happen.) As I promised in

Today I welcome guest blogger Len Tashman, Editor of Foresight: The International Journal of Applied Forecasting. I’ve been a big fan of Foresight since its inception in 2005, and the Spring 2009 issue contains a special feature on a topic close to my heart -- assessing forecastability. Here is Len’s

Tricks aren’t just for kids (or Louisiana senators or New York governors for that matter). Tricks are the lifeblood for many a forecasting software salesperson. Why admit that forecasting is difficult, that most things can’t be forecast as accurately as we would like, or that your software has the statistical

What do men really want? What do women really want? If you seek answers to these eternal questions go watch Oprah or Dr. Phil – I don’t really care. They are not nearly as interesting as the question: What do forecasting software buyers really want? Organizations spend millions of dollars