An alarming percentage of major software implementations fail to be delivered on time, on budget, or even at all. Implementations of new forecasting software, or of new forecasting processes, are not immune from this legacy of failure. Why does this happen, and is there anything we can do about it?

There is a long running debate among forecasting professionals, on whether to use Forecast or Actual in the denominator of your percentage error calculations. The Winter 2009 issue of Foresight had an article by Kesten Green and Len Tashman, reporting on a survey (of the International Institute of Forecasters discussion

The Summer 2010 issue of Foresight is now available. Here is Editor Len Tashman’s preview: For so many years, we forecasters have developed and refined models for demand forecasts – forecasts for product and item sales, orders, shipments – without paying adequate attention to the details of how these forecasts

Better forecasting can, of course, help address many business problems. We want to believe that more accurate forecasts are always possible. “If only,” management bemoans, “if only we had bigger computers, more sophisticated software, more skilled forecast analysts – or if the analysts we have just worked harder!” Unfortunately, there

Just as we all eagerly awaited announcement of the $1 million prize winner of the Pillsbury Bake-Off(R), every forecasting software vendor has endured the "bake-off" hosted by organizations in the market for new forecasting software. Software selection teams utilize a bake-off to help evaluate competing vendors. Vendors are given a

The F2010 Business Forecasting Conference wrapped up on June 8. Chaired by Tim Rey of Dow Chemical and Jerry Oglesby of SAS, this was another strong event, bringing together 248 forecasters from business, government, and academics, representing 27 states and 11 countries. It was also an opportunity for all to