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Trends Spotlight on the Summit
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Two key people have been involved in the Forecasting Summit from its inception: Dr. Len Tashman, Editor of Foresight: The International Journal of Applied Forecasting and a Director of the International Institute of Forecasters (IIF), and Holly Stanton, Marketing Director for the Forecasting Summit.
Having worked together on all ten Forecasting Summit conferences and having just completed the agenda for September’s conference, Len and Holly sat down with us recently. We talked about why the Summit was created and what it offers to the forecasting community.
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Judgmental Adjustments to Statistical Forecasts: Best Practices |
For an overview of the key issues and considerations, read Dr. Sanders’ article When and How Should Statistical Forecasts Be Judgmentally Adjusted? which appeared in Foresight: The International Journal of Applied Forecasting.
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The Forecasting Seminar, one of the most popular tracks at the Forecasting Summit, consists of eight modular presentations on various time series and regression-based forecasting approaches, detailing both how they work and how they are applied. In this installment of Forecasting 101, we reprint two articles that overview the core approaches covered in the Forecasting Seminar Track.
Time Series Forecasting Methods: What are they and when should I use them?
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To expect the unexpected shows a thoroughly modern intellect.
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Under increasing pressure to produce accurate forecasts, while at the same time navigating tricky political waters as senior management demands direct input into those forecasts, most forecasters face the challenge of how to best apply judgment to adjust statistical forecasts. Indeed, this has been a hot topic at the Forecasting Summit since its inception, resulting in lively, well-attended sessions. At the upcoming Forecasting Summit, Professor Nada Sanders from the Neely School of Business at TCU will discuss different ways of combining judgmental and statistical forecasts, highlighting the advantages and disadvantages of each approach. Based on research and her extensive business experience as a forecasting consultant, Dr. Sanders will also discuss principles that have been developed for deciding when and how to use judgment in adjusting statistical forecasts.
Knowing that new product forecast accuracy hovers (on average) at only 50%, many forecasters shy away from putting significant effort into forecasting new products. In this article, Professor Ken Kahn of Purdue University, who will be leading the New Product Forecasting Workshop at the next Forecasting Summit in September in Boston, explains that these challenges can be overcome by deploying a systematic approach that addresses the issues specific to new product forecasting.
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July 2008
An Interview with Len Tashman and Holly Stanton
Forecast Pro Training
Forecast Pro Unlimited Training
The Forecasting Summit
Forecasting Summit
Forecast Pro Appearances
2008 APICS International Conference & Expo
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