Webinar: Bridging the Gap Between Forecasting Theory and Practice


We seem to be in the height of webinar season, so please add one more to your calendar, brought to you by SAS, CT Global Solutions, and the International Institute of Forecasters:

event announcemnet

I'll be delivering a short introduction, covering the disappointing state of real life business forecasting in contrast to the potential shown in forecasting research and the M competitions. And then George Habek of CT Global Solutions will illustrate the use machine learning and traditional time series forecasting methods in SAS.

The live event is Tuesday, December 15 at 2:00pm EST (19:00 GMT). Registration is free.

About the webinar:

It has long been recognized that the real-life practice of forecasting falls well short of the potential exhibited in academic research and forecasting competitions. In 2018’s M4 competition, a simple benchmark combination method reduced error by 17.9% compared to a naïve (“no change”) forecast. The top six performing methods in M4 further reduced error by over 5% compared to the benchmark. But in forecasting practice, just bettering the accuracy of a naïve forecast has proven to be a surprising challenge.

Join SAS and CT Global Solutions, in association with Foresight: The International Journal of Applied Forecasting, as they discuss reasons why forecasting practice falls short of theory, and ways to bridge the gap


About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is author of The Business Forecasting Deal (the book), editor of Business Forecasting: Practical Problems and Solutions, and Associate Editor of Foresight: The International Journal of Applied Forecasting. He is a longtime business forecasting practitioner, and currently Product Marketing Manager for SAS Forecasting software. Mike serves on the Board of Directors of the International Institute of Forecasters, and received the 2017 Lifetime Achievement award from the Institute of Business Forecasting. He initiated The Business Forecasting Deal (the blog) to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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