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.

Mike Gilliland 0
Preview of INFORMS Conference

The INFORMS Conference on Business Analytics and Operations Research kicks off April 15 in Huntington Beach, CA. I had a chance to preview a presentation by Glenn Bailey, Sr. Director of Operations Research at Manheim (the $3B wholesaler auto auctioneer). Glenn's talk is on "The Need for Speed: Responsive Predictive Analytics,"

Mike Gilliland 0
Editorial comment: Forecast accuracy vs. effort

Let's end 2012-Q1 with a graphic editorial comment: Forecast Accuracy vs. Effort Using a naïve model will achieve a certain level of forecast accuracy. That accuracy may be high if the demand is smooth and stable, or low if the demand is erratic. But you achieve this level of accuracy with virtually no

Mike Gilliland 0
Deadly sin #5: Senior management meddling

The March 28 edition of APICS extra features an article by Fred Tolbert on "The Seven Deadly Sins of Sales Forecasting." Although I have some objection to his Deadly Sin #1: Using Shipment History (and will discuss the objection in a forthcoming guest-post on the Institute of Business Forecasting blog),

Mike Gilliland 0
Forecasting lessons from The Twilight Zone

Even Rod Serling recognized that sometimes we can't forecast worth a darn. "The Rip Van Winkle Caper" is an episode from Season 2 of the television series, The Twilight Zone, and first aired in 1961. It involves four train robbers who steal a million dollars worth of gold bars, hide

Mike Gilliland 0
More research from Harvard Business Review

There is something that 90% of us admit to doing, and the other 10% will lie about. That, of course, is Googling yourself. As an avid follower of myself, and everything I do, I look forward to a weekly Google Alert that tells me all about what I've been up to.

Mike Gilliland 0
APICS e-News: Demand planning analysts are hot

Citing online job postings reviewed by talent data firm Wanted Analytics, and a Software Advice  blog by Michael Koploy, APICS e-News reports that "Demand planning analysts" are hot -- one of the five hottest careers in logistics.  (Free subscription to APICS e-News) Clearly, APICS means there are a lot of good jobs

Mike Gilliland 0
New blog header design by Mr. Blackwell

Recently I complained about the stock art used on The BFD blog header. So I was foaming with excitement when Alison Bolen (who oversees the SAS blogging platform) kindly took notice, and enlisted Mr. Blackwell to come up with something more pleasing and appropriate.     OMG Mr. Blackwell!!! As a huge fan of

Mike Gilliland 0
IBF conference and The BFD book signing

I love dogs. Not to the extent that Rick Santorum has to be concerned. And not to the extent of actually having a dog as a pet. But man-dog love has become an issue in the 2012 US presidential campaign, and I thought The BFD readers should know my stance

Mike Gilliland 0
Forecasting fashion apparel (Part 3)

Some ideas sound great (combining chocolate with peanut butter) and turn out great (Reese's Peanut Butter Cup).  Some ideas sound great (getting a face lift) but turn out bad (Kenny Rogers, Greta Van Susteren). Some ideas sound bad (a Run-DMC / Aerosmith duet) but turn out great ("Walk This Way").   Some ideas sound bad (letting

Mike Gilliland 0
Forecasting fashion apparel (Part 2)

Have you noticed the annoying stock art they put on The BFD blog header? All I can think of is "If those idiots only used SAS Forecast Server, they wouldn't have to draw graphs all over their window panes just to do forecasting." It must really p.o. the housekeeping staff at that

Mike Gilliland 0
Forecasting fashion apparel

Ten years ago I spent some time in women's undergarments*, as Director of Forecasting at Sara Lee Intimate Apparel (now Hanesbrands).  Sure, it sounds glamorous -- product posters on our office walls, quarterly runway shows of new products, and partying with the full-figured Playtex models (some of whom were fuller than I figured). 

Mike Gilliland 0
For the love of forecasting

Love can make a person do bad, dangerous, stupid, and irresponsible things.  Love of country can make a politician stray from his wife. Love of Pepsi can make a pop musician lose his hair in a pyrotechnics-gone-bad commercial. Love of acting can make academy award winners accept starring roles in Ishtar. And for

Mike Gilliland 0
Myers-Briggs Type Indicator for forecasters

Have you taken the Myers-Briggs Type Indicator (MBTI) assessment?  It is a psychological test wherefrom you are classified on Extraversion vs. Introversion, Sensing vs. Intuition, Thinking vs. Feeling, and Judging vs. Perceiving.  I, along with roughly 15% of the population, come out an ISTJ or "Guardian Inspector" (the single largest

Mike Gilliland 0
My Offering: Forecast Accuracy Objectives for 2012

Managing expectations for forecast accuracy is very important, as often those expectations are extreme after management invests in a new system. Software vendors have also been known to make overly (choose one: optimistic? sanguine? idyllic?) accuracy claims as part of their sales pitch. Of course, there is no arbitrary level of accuracy

Mike Gilliland 0
SCM Focus on forecastability and over fitting

My Google Alert on "forecastability" paid off with a gem this weekend, in the blog post "Forecastability and Over Fitting" by Shaun Snapp on SCM Focus.  I was not previously familiar with Shaun or this site, but found a lot to like -- in content and attitude. In his post, Shaun kindly

Mike Gilliland 0
High on complexity

Paul Goodwin's Hot New Research column is a must-read in each issue of Foresight. The current column, "High on Complexity, Low on Evidence: Are Advanced Forecasting Methods Always as Good as They Seem?" ends with this sage advice: If the name of a method contains more words than the number of observations that

Mike Gilliland 0
Tumbling dice

Mean Absolute Percent Error (MAPE) is the most commonly used forecasting performance metric, and for good reason, the most disparaged. When we compute the absolute percent error the usual way, as APE = | Forecast - Actual | / Actual this is undefined when Actual = 0.  It can also lead to

Mike Gilliland 0
Why forecasts are wrong: Unforecastable demand

Sometimes you can't forecast worth a darn because something is just not forecastable. Being "unforecastable" doesn't mean you can't create a forecast, because you can always create a forecast.  It just means there is so much instability or randomness in your demand patterns that even sophisticated forecasting methods don't help

Mike Gilliland 0
Why forecasts are wrong: Untrained / inexperienced forecasters

Among the suitable-for-blog-publication-without-risking-my-job definitions of masochism is this: A willingness or tendency to subject oneself to unpleasant or trying experiences So to be a forecaster, must you also be a masochist? Few people enjoy the difficulties and degradation that go with being a forecaster, so few are willing to do it

Mike Gilliland 0
Why forecasts are wrong: Inadequate/unsound/misused software

A common mistake in bad or misused software is choosing a forecasting model based solely on the model’s “fit to history” (often referred to as “best fit” or “pick best” functionality). The software provides (or the forecaster builds) several competing models which are then evaluated against recent history. The model

Mike Gilliland 0
Flash3: Report from Analytics2011 in Orlando

Of course, forecasting the stock market is not perfectly analogous to forecasting demand for a product.  The asking price for a stock is largely "anchored" by the price of its most recent trades.  While market values may appear to randomly drift up and down, or in a general direction, we generally

Mike Gilliland 0
Flash2: Report from Analytics2011 in Orlando

In this second of three flash reports from last week's Analytics2011 conference, we hear about a favorite topic of mine -- the relationship between demand volatility and forecastability. Rob Miller of Avantor Performance Materials, on Forecastability and Demand Volatility The "comet chart," illustrating the relationship between demand volatility and forecast

Advanced Analytics
Mike Gilliland 0
Why forecasts are wrong

This week brought big news of one of the most cruel and heartless tyrants of the 21st century.  This man is known for narcissistic behavior, surrounding himself with a cadre of beautiful women, sleeping in a different place every night, picking new favorites each week, and bringing tears and untold suffering

1 8 9 10 11 12 13