I wanted to pass along this reminder from Pam Stroud at the International Institute of Forecasters: Grant to Promote Research on Forecasting For the twelfth year, the IIF, in collaboration with SAS®, is proud to announce financial support for research on how to improve forecasting methods and business forecasting practice.
We're entering the busy season for forecasting events, and here is the current calendar: Analytics2014 - Frankfurt The European edition of Analytics2014 kicks off tomorrow in Frankfurt, Germany. Five hundred of the leading thinkers and doers in the analytics profession hook up for two full days of interaction and learning.
SAS/Foresight Webinar Series On Thursday February 20, 11am ET, join Martin Joseph, Managing Owner of Rivershill Consultancy for this quarter's installment of the SAS/Foresight Webinar Series. Martin will be presenting "The Forecasting Mantra" -- a template that identifies the elements required to achieve sustained, world-class forecasting and planning excellence. He'll also
Where is global warming when you need it? Throughout much of the southeast, life has been at a standstill since midday yesterday, when 2" of snow and 20oF temperatures brought civilization to its knees. If your life, or at least your forecasting career, is at a similar standstill, make plans to
While fancy new forecasting models will always be of interest to researchers, there is plenty of really interesting and practical new work being led by forecasting practitioners. Last month Steve Morlidge (who spent 30 years at Unilever, now with CatchBull), shared his promising new approach on the “Avoidability of Forecast
The Empirical Evidence Steve Morlidge presents results from two test datasets (the first with high levels of manual intervention, the second with intermittent demand patterns), intended to challenge the robustness of the avoidability principle. The first dataset contained one year of weekly forecasts for 124 product SKUs at a fast-moving consumer
Mercifully, we have reached the final installment of Q&A from the June 20 Foresight-SAS webinar, "Forecast Value Added: A Reality Check on Forecasting Practices." As a reminder, a recording of the webinar is available for on-demand review, and the Foresight article (upon which the webinar was based) is available for free
Q: Is the MAPE of the naive forecast the basis for understanding the forecastability of the behavior? Or are there other more in depth ways to measure the forecastability of a behavior? MAPE of the naive forecast indicates the worst you should be able to forecast the behavior. You can
Q: Company always try to forecast 12 or 24m ahead. Whether we should track accuracy of 1m/3m/ 6m or x month forecast, does that depend on lead time? How to determine out of these 12/24 months, which month should we track accuracy? Correct, forecast performance is usually evaluated against the
Q: What is a legitimate goal to expect from your FVA...5%, 10%? Q: How do we set Target FVA which Forecasters can drive towards? The appropriate goal is to do no worse than a naive model, that is FVA ≥ 0. Sometimes, especially over short periods of time, you may
Please enjoy a much-needed break from FVA Q&A with editor Len Tashman's preview of the Summer 2013 issue of Foresight: Enlightenment has been our guiding principle through this, our 30th issue of Foresight. Since the journal’s inception in 2005, our mission has been to help the forecasting profession come to
With this Q&A Part 3, we are about halfway through the questions submitted during the FVA webinar. We did over 15 minutes of live Q&A at the end of the webinar, and covered many of the submitted questions at that time, however I always prefer to issue complete written responses to
Q: Could you send me the presentation? With audio if possible. If you'd like a pdf of the slides, email me directly: mike.gilliland@sas.com For the audio, the webinar recording is available for free on-demand review: FVA: A Reality Check on Forecasting Practices Q: Can we get the case study referred here
As promised in yesterday's Foresight-SAS sponsored webinar on "Forecast Value Added: A Reality Check on Forecasting Practices," here is Part 1 of my written response to the over 25 questions that were submitted during the event. (Note: It may take a week or so to get through all of them.)
If an organization is spending time and money to have a forecasting process, is it not reasonable to expect the process to make the forecast more accurate and less biased (or at least not make it any worse!)? But how would we ever know what the process is accomplishing? To
If the popularity of one's blog can be measured by the number of comments received, then The BFD has become quite popular. Many of the comments are quite flattering, such as: Hello, I check your blog like еvery week. Үour writing style is wittу, keep doing ωhat you're doing! Vеry
"Why Should I Trust Your Forecasts?" now available on-demand The SAS / Foresight webinar series had a rousing kickoff on April 24, with Paul Goodwin asking (and answering) the question, "Why Should I Trust Your Forecasts?" The webinar is now available for free on-demand review . Be sure to stick
Editor Len Tashman's Preview of Foresight For a look at articles in the Spring issue of Foresight: The International Journal of Applied Forecasting, here is editor Len Tashman's preview: Kevin Foley is an IIF–Certified Forecaster with over 15 years of consultant experience in defense and aerospace companies. Drawing on this
Compare it to predicting the economy. So concludes an ABC News Australia story by finance reporter Sue Lannin, entitled "Economic forecasts no better than a random walk." The story covers a recent apology by the International Monetary Fund over its estimates for troubled European nations, and an admission by the
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
SAS Dress Code In addition to providing great software for forecasting (and business analytics in general), SAS is also renowned as a great place to work. (See #1, #1, and #3 rankings the past three years in the Fortune 100 Best Companies to Work For.) Part of this greatness is due
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),
