Forecast Value Added (FVA) is a metric for comparing the performance of your organization’s forecasting process to “doing nothing” and using a naïve model to generate your forecasts. The idea is, if all the resources and effort we put into forecasting are not providing forecasts that are better than using
SAS/Foresight Webinar Series The next installment of the quarterly SAS/Foresight webinar series is next Thursday, September 19, at 1:00pm EDT. Demand and Supply Integration: Achieving S&OP's Strategic Promise Join Dr. Mark Moon, Department of Marketing and Supply Chain Management at the University of Tennessee, to discover the benefits of integrating demand
Message from Mohsen Hamoudia (IIF President): For the eleventh year, the International Institute of Forecasters, in collaboration with SAS®, is proud to announce financial support for research on how to improve forecasting methods and business forecasting practice. The award for this year will be two (2) $5,000 grants. The
If you need an excuse to get out of the office and perhaps learn a thing or two this fall, here are three upcoming events: Foresight Practitioner Conference: S&OP and Collaborative Forecasting (Columbus, OH, September 25-26) From the campus of Ohio State University, Foresight's editor Len Tashman and S&OP column
The Empirical Evidence Steve Morlidge presents results from two test datasets (the first with high levels of manual intervention, the second with intermittent demand patterns), intended to challenge the robustness of the avoidability principle. The first dataset contained one year of weekly forecasts for 124 product SKUs at a fast-moving consumer
Suppose we have a perfect forecasting algorithm. This means that we know the "rule" guiding the behavior we are forecasting (i.e., we know the signal), and we have properly expressed the rule in our forecasting algorithm. As long as the rule governing the behavior doesn't change in the future, then any
While I've long advocated the use of Coefficient of Variation (CV) as a quick and dirty indicator of the forecastability of a time-series, its deficiencies are well recognized. It is true that any series with extremely low CV can be forecast quite accurately (using a moving average or simple exponential smoothing
"Forecastability" is a frequent topic of discussion on The BFD, and an essential consideration when evaluating the effectiveness of any forecasting process. A major critique of forecasting benchmarks is that they fail to take forecastability into consideration: An organization with "best in class" forecast accuracy may do so only because
SAS Forecast Server (release 12.3) is now shipping, and includes the new SAS Time Series Studio GUI. Time Series Studio (TSS), was released as "experimental" last August in 12.1, and is now in production. TSS provides an additional interface in Forecast Server, for time series data mining, exploration, and data preparation.
Mercifully, we have reached the final installment of Q&A from the June 20 Foresight-SAS webinar, "Forecast Value Added: A Reality Check on Forecasting Practices." As a reminder, a recording of the webinar is available for on-demand review, and the Foresight article (upon which the webinar was based) is available for free
