Author

Mike Gilliland
RSS
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.

Advanced Analytics
Mike Gilliland 0
My Friends at F2010

The F2010 Business Forecasting Conference wrapped up on June 8. Chaired by Tim Rey of Dow Chemical and Jerry Oglesby of SAS, this was another strong event, bringing together 248 forecasters from business, government, and academics, representing 27 states and 11 countries. It was also an opportunity for all to

Advanced Analytics
Mike Gilliland 0
Announcing The BFD (the book)

I am pleased to announce publication of The Business Forecasting Deal: Exposing Myths, Eliminating Bad Practices, Providing Practical Solutions, available now in a convenient carry-everywhere size (approx 6” x 9” x 1”), or for download to your Kindle. Table of contents, sample sections (including the Prologue, Forewords by Tom Wallace

Advanced Analytics
Mike Gilliland 5
Holdout Sets: Good or Bad?

My friend Tom Reilly of Automatic Forecasting Systems posted this comment on the INFORMS discussion group on LinkedIn: Some use all of the data and some withhold data to find the best forecasting model? Withholding is arbitrary as changing the withhold from x to y means a completely different model

Advanced Analytics
Mike Gilliland 0
Forecasting Resources

Although I would like to flatter myself and believe that my readers rely solely on The BFD for all their business forecasting news and information, I realize this is not the case. While other sources may not be as honest, useful, or delightfully entertaining to young and old alike, they

1 33 34 35 36 37 38