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Mike Gilliland 0
Too much information for forecasting?

First: A Report from the 67th Pine Tree Festival and Southeast Timber Expo Back in March The BFD investigated the topic of Google-ing yourself (aka egosurfing). I reported on finding a namesake in show business, a self-described "Magic Mike Gilliland" and his sidekick Lollipop the Clown. I attempted to disparage

Learn SAS
Shelly Goodin 0
SAS author's tip: the Student t-distribution

Remarkably, this week's tip was initially inspired by the Guinness Brewery in Dublin, Ireland. In his new book Statistical Analysis for Business Using JMP, Professor Willbann Terpening provides lots of useful information - including the origin and usage of the Student t-distribution. If you'd like to get to know Willbann and

Students & Educators
Nadja Young 0
Value-added data informing and improving TN Schools of Education

With the rapid changes in our education systems regarding new standards, assessments, accountability and evaluation, teachers are rightfully feeling the pressure of being underprepared. The majority of teachers were not trained or certified with these rigorous systems in place. Recognizing that higher education institutions need to play an active role

Shelly Goodin 0
SAS author's tip: Using MLOGIC

This week's SAS author's tip comes from Carol Matthews and Brian Shilling and their book Validating Clinical Trial Data Reporting with SAS.  SAS users have raved about this guide. In her review, Susan Fehrer said "Carol and Brian's book provides a good overview, practical hands-on tips, and many examples of how to perform

Mike Gilliland 0
Are you an Analytic Superhero?

Have you seen this week's news item on "tanning mom" Patricia Krentcil, the New Jersey mother accused of sunburning her young daughter in a tanning booth? Now I'm as big a fan of diversity as the next guy, and lovingly embrace people of every visible color (although I do find House Speaker John Boehner's  orange a

Mike Gilliland 0
Incorporating demand planner knowledge

Can you explain the "random error" in your forecasts? This question was posed two weeks ago by Sam Iosevich, Managing Principal at Prognos, during his presentation  at the INFORMS Conference on Business Analytics and Operations Research. Sam stated that if your planners have knowledge that helps explain the "random error" in

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Four reasons to use SAS/GRAPH

Robert Allison's SAS/GRAPH: Beyond the Basics collects examples that demonstrate a variety of techniques you can use to create custom graphs using SAS/GRAPH software. To celebrate the book’s publication, we asked Robert to tell us more about why he loves SAS/GRAPH. Here’s what he had to say: A graph is

Mike Gilliland 0
The numbers behind burgers and fries

Last week's INFORMS Conference on Business Analytics and Operations Research drew over 700 attendees to Huntington Beach, CA. I had the pleasure of serving on the conference selection committee, and wanted to share this content from one of our invited speakers, Kean Chew of HAVI Global Solutions. The Numbers Behind Burgers

Analytics
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The value of high-performance analytics

Like Vince said a few days ago, you don’t have to be Goliath to see how the intersection of big data and high performance analytics creates competitive advantage. Let’s also be realistic though: compared to someone like Walmart, pretty much everyone’s David! While Telstra and the Commonwealth Bank may not be the largest companies by global measures, they’re still

Analytics
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New analytics book from Bill Franks

Bill Franks’s new book, Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics, has just released. This book shows how big data is changing the world of analytics; what people, processes, technologies, and mindsets are necessary to succeed in analytics in this new era;

Mike Gilliland 0
Forecasting and analytics at Disney World

The April 2012 issue of ORMS Today contains a piece on "How analytics enhance the guest experience at Walt Disney World," by Pete Buczkowski and Hai Chu. While many of us are used to forecasting just one or two things (such as unit sales or revenue), Pete and Hai illustrate

Chris Hemedinger 0
Myths about 64-bit computing on Windows

When I first joined SAS in 1993, we were gliding into the golden age of 32-bit computing on the PC. Microsoft offered a new extension to Microsoft Windows 3.1 called Win32s, and it allowed 32-bit applications to run on the Windows operating system. SAS Version 6.10 for Windows was one

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