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Business forecasting effectiveness at the APICS Triangle Chapter (February 12)

By Mike Gilliland on The Business Forecasting Deal February 5, 2013

If you happen to be in Raleigh, NC next Tuesday evening, please come out for the APICS Triangle Chapter professional development meeting, 6:00-8:00 pm. While I can't make any promises about the caliber of the evening's speaker (me), you are assured a good meal and good conversation with representatives from many triangle area industries.

I last spoke at this chapter in 2006, on the topic of Lean Forecasting. This time we'll look at the reasons why forecasts are so wrong, and some of the common worst practices. We'll then return to the lean forecasting approach with a dive into Forecast Value Added analysis.

Note: You must register by noon on Thursday, February 7. See you there.

KMWorld Article on Managing the Business Forecasting Process

For additional preview of the APICS dinner topic, see this recent KMWorld article, "Forecast Value Added: The Key to Managing the Business Forecasting Process."

About Author

Mike Gilliland
Product Marketing Manager

Michael Gilliland is a longtime business forecasting practitioner and formerly a Product Marketing Manager for SAS Forecasting. He is on the Board of Directors of the International Institute of Forecasters, and is Associate Editor of their practitioner journal Foresight: The International Journal of Applied Forecasting. Mike is author of The Business Forecasting Deal (Wiley, 2010) and former editor of the free e-book Forecasting with SAS: Special Collection (SAS Press, 2020). He is principal editor of Business Forecasting: Practical Problems and Solutions (Wiley, 2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley, 2021). In 2017 Mike received the Institute of Business Forecasting's Lifetime Achievement Award. In 2021 his paper "FVA: A Reality Check on Forecasting Practices" was inducted into the Foresight Hall of Fame. Mike initiated The Business Forecasting Deal blog in 2009 to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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