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Mike Gilliland 0
The horticultural argument for SKU rationalization

Uncontrolled product proliferation can have bad consequences, and these are well recognized. There is certainly extra cost and complexity in managing more SKUs (rather than fewer SKUs). And it is unlikely that each new offering adds entirely incremental volume. Instead, the increased product overlap just leads to increased self-cannibalization. We

Rick Wicklin 0
Using macro loops for simulation

Last week I wrote an article in which I pointed out that many SAS programmers write a simulation in SAS by writing a macro loop. This approach is extremely inefficient, so I presented a more efficient technique. Not only is the macro loop approach slow, but there are other undesirable

Chris Hemedinger 0
Performance-enhancing SAS notes

With the London 2012 Olympics around the corner, there are sure to be reports or rumors of performance-enhancing drug use among some athletes. It turns out that using manufactured chemicals to give yourself an edge is frowned upon in the athletic community. However, as a SAS user you should avail

Chris Hemedinger 0
Behind the scenes with SAS Visual Analytics

If you've heard anything from SAS in recent months, then you've heard about high-performance analytics and the new SAS Visual Analytics offering. SAS has taken the high-performance analytics message around the world in a series of recent "road shows". From the start, this project has enjoyed a different development process

Mike Gilliland 0
The objectives of forecasting: narrow and broad

Free The BFD The BFD has been on a short hiatus, fending off potential litigation with the organizing committee of a quadrennial international sporting event that isn't the World Cup. Per the advice of SAS Legal, I've had to make a few changes to the May 30 post, now entitled "Forecasting

Kathy Council 0
The first SAS PROCs

I was recently following a post where a user asked what the earliest SAS PROCs (procedures) were. Since I started using SAS in 1970, I knew I could find a copy of the old documentation that we used at that time. This “user’s guide” was something that you printed out on

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Three things everyone should know about logistic regression

In Paul Allison’s own words, “It’s about time!” The first edition of his book on logistic regression came out in 1999, and since then, “there have been an enormous number of changes and enhancements to the SAS procedures for doing logistic regression and related methods.” Allison has incorporated those changes

Learn SAS
Shelly Goodin 0
SAS author's tip: Using JMP to compare two variances

If you're using JMP, please read on. This week's tip is from Professor Robert Carver and his popular book Practical Data Analysis with JMP. To read a free chapter and reviews of the book, visit Robert's author page.  The following excerpt is from SAS Press author Robert Carver and his book "Practical Data Analysis with JMP" Copyright ©

Rick Wicklin 0
Create a contour plot in SAS

When I need to graph a function of two variables, I often choose to use a contour plot. A surface plot is probably easier for many people to understand, but it has several disadvantages when compared to a contour plot. For example, the following statements in SAS/IML Studio displays a

Students & Educators
Nadja Young 0
NC teachers’ voices regarding use of student growth in educator evaluations

In 2011-2012, North Carolina became one of many states to restructure their educator evaluation system to incorporate student growth. The NC Department of Public Instruction commissioned the external expertise of WestEd to evaluate various growth models and recommend value-added technology that would help them best meet their mission of using meaningful evaluation to

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The specifics of analytics in data quality

We just published Gerhard Svolba’s Data Quality for Analytics Using SAS. When I first heard about it, I thought we’d have a tome covering such topics as standardizing data, cleaning it up, removing duplicates, and so on. However, as Gerhard says in his Introduction, “There are many aspects of data

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