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Shelly Goodin 0
SAS author's tip: Alternative ODS destinations

Neil Constable is a Principal Education Consultant at SAS in the United Kingdom, where he applies his extensive knowledge of Base SAS, SAS Enterprise Guide, and the SAS business intelligence tools. He's also the author of SAS Programming for Enterprise Guide Users, Second Edition--and this week's featured tip. You can get to know Neil

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

Advanced Analytics
Rick Wicklin 0
What is Mahalanobis distance?

I previously described how to use Mahalanobis distance to find outliers in multivariate data. This article takes a closer look at Mahalanobis distance. A subsequent article will describe how you can compute Mahalanobis distance. Distance in standard units In statistics, we sometimes measure "nearness" or "farness" in terms of the

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New Business Intelligence book will help many SAS users

Building Business Intelligence Using SAS: Content Development Examples by Tricia Aanderud and Angela Hall just published this month. This highly anticipated book—called “a must read for anyone using SAS® BI”* —is a quick-start guide that will help users move quickly from using only one of the SAS BI Clients to

Analytics
Melissa Savage 0
Analytics helping transportation officials get the job done in tight financial times

The American Association of State Highway Transportation Officials recently released a top 10 list of transportation issues that will be “talked, written or tweeted and legislated about” in 2012.   As expected, funding constraints and Congressional action on reauthorization appear on the list but the group also notes that natural disaster

Advanced Analytics
Rick Wicklin 0
Use the Cholesky transformation to correlate and uncorrelate variables

A variance-covariance matrix expresses linear relationships between variables. Given the covariances between variables, did you know that you can write down an invertible linear transformation that "uncorrelates" the variables? Conversely, you can transform a set of uncorrelated variables into variables with given covariances. The transformation that works this magic is

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

Rick Wicklin 0
How to access SAS sample programs

Have you ever wanted to run a sample program from the SAS documentation or wanted to use a data set that appears in the SAS documentation? You can: all programs and data sets in the documentation are distributed with SAS, you just have to know where to look! Sample data

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

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