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.
Personally, I don’t get Twitter. I have an account (mvgilliland) for anyone interested in not hearing any tweets from me. I follow a few people and have a few followers (including some that aren't porn bots) -- but what is the point? Does anyone really care that I’m out hanging
The Summer 2009 issue of Foresight is now available, and features a section on “Rethinking the Ways We Forecast.” Here is Editor Len Tashman’s preview: Are traditional forecasting tools suitable for predicting complex systems like the economy and the global climate? Basically, no, argue David Orrell and Patrick McSharry: such
On a Monday July 20 segment of consumer advocate Clark Howard’s radio show, Clark discussed the common practice of hidden payments to influential bloggers. Apparently these high-tech shills pocket the payola, and then make favorable postings about particular products or services. According to Clark, there are new rules to prevent
Aren’t the internets wonderful? Just today I was trying to find the antonym of “naïve” and came across several terrific choices (sophisticated, worldly, well-informed, and intelligent) and one that didn’t make any sense (svelte???). However, upon further review at Merriam-Webster.com, I discovered that in addition to slender, lithe, and sleek
In April 2009, Google published a draft research paper “Predicting the Present with Google Trends,” by Google’s Chief Economist Hal Varian and Decision Support Engineering Analyst Hyungyoung Choi. The paper is available for download in an April 2 posting by Varian and Choy on the Google Research Blog that has
With apologies to Johnnie Cochran and Joyce Kilmer : “If the model do fit, it don’t prove ****” This was the warning from Trick #1. As a forecaster your job is to produce forecasts – as good as they can reasonably be expected to be – not to fit models
The Spring 2009 Foresight feature on assessing forecastability is a must-read for anyone who gets yelled at for having lousy forecasts. (It should also be read by those who do the yelling, but you’d have to be living in Neverland to believe that will ever happen.) As I promised in
Today I welcome guest blogger Len Tashman, Editor of Foresight: The International Journal of Applied Forecasting. I’ve been a big fan of Foresight since its inception in 2005, and the Spring 2009 issue contains a special feature on a topic close to my heart -- assessing forecastability. Here is Len’s
Tricks aren’t just for kids (or Louisiana senators or New York governors for that matter). Tricks are the lifeblood for many a forecasting software salesperson. Why admit that forecasting is difficult, that most things can’t be forecast as accurately as we would like, or that your software has the statistical
Here is the first of what I hope to be many guest postings from my colleagues here at SAS. Today Snurre Jensen, Business Advisor from SAS Denmark, writes about his recent encounter with a blog about dealing with demand changes in SAP APO. From Snurre: In my ongoing quest for
