Tag: sas

Shelly Goodin 0
SAS turns 35 today

So we all know that "35" is the "new 24". Or something like that. In any event, my incredible employer SAS celebrates its 35th anniversary today and has retained its youthful cutting-edge viability while combining it with the wisdom that comes with longevity. And the company culture within SAS reflects

Sandy Varner 0
BEA 2011: First Day Impressions

I spent my first day at Book Expo (BEA) at the International Digital Publishing Forum (IDPF) conference. There were good presentations but the one that gave me an 'aha' moment was on e-reading devices presented by Gartner. Allen Weiner from Gartner prefaced his predictions by asking what customers need. They

Frank Leistner 0
Beyond the technical aspects of knowledge management

Often-cited reasons for writing a book remind me of what detectives name as two factors necessary for committing a crime: motive and opportunity. I certainly had a strong motive for writing a book. I had been discussing knowledge sharing and running SAS knowledge flow initiatives for over a decade. Opportunity

Shelly Goodin 6
There are no bad books. Seriously.

I have read maybe thousands of books over the past few decades. From classics to business books to young adult novels to some genres that shall indefinitely remain unnamed... And while I loathed some of these books, I can't really call any of them "bad." There is an audience for

SAS Events
Mike Kalt 0
Can SAS/GRAPH Get You a Gig in Vegas?

A few months ago I wrote a blog entry titled "SAS/GRAPH "SG" Procedures--Not Just for Statisticians!" It was so well received that I was invited to open for Celine Dion at Caesar's Palace in Las Vegas! Well, not really, but I was invited (along with co-blogger Cynthia Zender) to give

Rick Wicklin 0
Author tip: How to sample efficiently in SAS

Contributed by Rick Wicklin, author of Statistical Programming with SAS/IML Software This year at SAS Global Forum 2011, I am presenting a statistical tutorial, "Data Simulation for Evaluating Statistical Methods in SAS". In this course, I show how to create data with known properties (such as skewed or heavy-tailed) and

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