The SAS Business Knowledge Series now offers an online version of the "Forecast Value Added Analysis" course, taught via live web in two afternoon sessions, May 7-8. The instructor is my colleague Chip Wells, who expanded our original 1/2 day FVA workshop with new material, examples, and exercises based on his
My colleague Charlie Chase, Advisory Industry Consultant and author of the book Demand-Driven Forecasting, has developed a new course for the SAS Business Knowledge Series (BKS): Best Practices in Demand-Driven Forecasting. The 2-day course will be offered for the first time April 20-21 in Atlanta (and then again September 24-25 in Chicago). From the
Sports provide us with many familiar clichés about playing defense, such as: Defense wins championships. The best defense is a good offense. Or my favorite: The best defense is the one that ranks first statistically in overall defensive performance, after controlling for the quality of the offenses it has faced. Perhaps not
In December the Institute of Business Forecasting published the first of a new blog series on Forecast Value Added. Each month I will be interviewing an industry forecasting practitioner (or consultant/vendor) about their use of FVA analysis. The December interview featured Jonathon Karelse, co-founder of NorthFind Partners. Among his key
Calling All Forecasters Have you tried Forecast Value Added analysis? What did you find out? Are you willing to share your learnings (at least those that can be revealed publicly)?Would you like to be featured in a new blog series on FVA, published by the Institute of Business Forecasting? The IBF was
Where is global warming when you need it? Throughout much of the southeast, life has been at a standstill since midday yesterday, when 2" of snow and 20oF temperatures brought civilization to its knees. If your life, or at least your forecasting career, is at a similar standstill, make plans to
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
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
Q: Is the MAPE of the naive forecast the basis for understanding the forecastability of the behavior? Or are there other more in depth ways to measure the forecastability of a behavior? MAPE of the naive forecast indicates the worst you should be able to forecast the behavior. You can
