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
If you use or have used SAS Web Report Studio, the SAS usability folks want to talk to you. Here is a call for participation: Dear Web Report Studio Users, In order to make SAS Web Report Studio (WRS) a better reporting tool, WRS will be conducting a few different
I just read about how Bill Gates has too many friends to keep up with on Facebook. Social networking is tough for social butterflies like Bill and myself. If only there was some sort of tool to help me sift through my friend data and help me categorize it.
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
When you create SAS Enterprise Guide projects, what's your approach? Do you cram the process flow with thousands of nodes? Do you create different projects for each work task? Do you like one big SAS program? Or a bunch of little programs all linked together? That's the question that Michael
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
Last year I posted a method to "mine" Twitter tweets for public sentiment after the vice-presidential debate. Patrick McLeod (University of Texas) recently posted an article showing how he adapted the method to analyze a category of tweets with the #iranelection tag. You can do fancier tricks with SAS and
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
SAS programmers can often be (um...let's see...how best to put this...) set in their ways -- at least when it comes to their SAS work. This is due in part to the nature of SAS. The SAS program that you wrote 20 years ago in Version 5 probably still works
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
AnnMaria's blog describing her acceptance of SAS Enterprise Guide, despite the shortcomings she's found, reminded me of this Irish Spring commercial. I'd like to take the time to craft a more thoughtful response to her post, but that will have to wait for a less-hectic day. In the meantime, I
SAS-sponsored podcasts, including a few from yours truly, are available on www.sas.com. Interested in hearing from a variety of SAS authors? There are dozens of interviews available on the SAS Press site. For example, listen to the authors of the "Little SAS Book" series, Susan and Lora, as they reveal
The content for this post comes from David Henderson, lead software developer for the SAS Web Parts for Microsoft Sharepoint. David talks about these and other ideas for SAS-Sharepoint integration in his SAS Global Forum paper. We are pleased to announce the availability of SAS Web Parts 1.1 for Microsoft
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
"…the sexy job in the next ten years will be statisticians…" That's a quote from Hal Varian, Google’s Chief Economist. It surfaced in an online interview months ago, but it's been getting a lot of play lately. Mr. Varian goes on to say: The ability to take data—to be able
What do men really want? What do women really want? If you seek answers to these eternal questions go watch Oprah or Dr. Phil – I don’t really care. They are not nearly as interesting as the question: What do forecasting software buyers really want? Organizations spend millions of dollars
This morning kicks off F2009, the fourth annual Business Forecasting Conference held at SAS world headquarters in Cary, NC. We are again hosting a broad mix of thought leaders, academic researchers, and industry and government practitioners. Pre-registration included 230 attendees spanning 79 commercial organizations, government agencies, and universities, from an
Did Hippocrates really say this? Probably not, for among other reasons he spoke Ancient Greek and not Modern English. However, such mere technicality should not distract us from the importance of this oath for forecasters. Please place your hand over your heart and say with me: First, do no harm.
Think of this as consumer protection for the business forecaster. The Business Forecasting Deal is a new blog exploring the dark side of the forecasting profession. Its purpose is to expose the snake oil and shoddy practices of those who either don’t understand the realities of forecasting, or who can’t
Just last week I posted about Jim Davis joining the blogging fray, and now here comes SAS Exceutive VP Mikael Hagström with his own blog, ominously titled "In the Final Analysis". If this keeps up, my entire SAS Dummy blog will be spent announcing other SAS blogs. Well, you don't
You might be the sort of person who loves to wait indefinitely. You visit the DMV regularly to tweak your auto registration. You queue up in the supermarket checkout line behind the customer most likely to require "price checks". You map your daily commute along the routes that offer the
Jim Davis, Senior VP and Chief Marketing Officer at SAS: welcome to the SAS blogosphere. Jim is a great communicator and has a tremendous rapport with SAS customers; I'm sure that his blog will prove that out. I remember first meeting Jim way back shortly after he joined SAS. This
NCSU statistics students: welcome to SAS Hall, your new home for higher learning. I'm glad they named it SAS Hall; "Sall Hall" is a bit too rhymey and "Goodnight Hall" might encourage classroom sleepiness.
Question: What do you get when you cross your Facebook friends with SAS analytics? Answer: Insight, probably more about yourself than anything else. You can tell a lot about yourself by looking at your friends. And I'll bet that so can Facebook and those who advertise on it. Data from
AnnMaria artfully qualifies her use of the word "lovely" as she describes her experience with one of our SAS customer representatives. The whole reason for the encounter: AnnMaria needed to get the correct sort of software order so that she and her colleagues can run SAS 9.2 and SAS Enterprise
Recoding values is one of the most common data prep tasks that folks need to do before they can analyze and report on data. In SAS, the most elegant way to handle this is by applying a SAS format. A SAS format allows you to "bucket" a bunch of raw
The SAS Enterprise Guide 4.2 tutorial is going global, with translated versions now hitting the SAS support site. First up, after the English version, are Italian and German. Other languages will soon follow. Update 22Apr2009: just added French and Spanish as well. This represents a couple of firsts for us:
