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Student’s schedules are packed with activities these days but taking time out to attend a conference is always a great addition to any semester. For students who use SAS and want to attend a SAS Users Group conference, here are some tips to help you get the most out of
We continue my colleague Udo Sglavo's example with the SAS code for incorporating R models into SAS Forecast Server: Code for Including R Model Results in SAS As a first step I’m exporting a data set containing one time series from SAS to R (actually I will use the same
Sometimes when you change a couple of words around, you can end up with an entirely new concept. In a conversation with a co-worker around analytic roles and responsibilities, she noted that we shouldn’t be talking about “business intelligence analysts,” but discussing ways to create “intelligent business analysts.” Brilliant!! One
In 2009, SAFETEA-LU—the legislation that outlines federal transportation funding for the states—expired. Since then, members of Congress have been kicking the can down the road, passing funding extensions instead of passing legislation. The major impact of this failure to act is that the U.S. continues to slip further and further
My colleague Udo Sglavo is back, responding to comments on his guest blog from two weeks ago. For fans of SAS and R, he shows how to incorporate results from Hyndman's R model into SAS. Do the Evolution After publishing my blog on replicating Rob J Hyndman’s cross validation idea
Like millions of other Americans, I recently was asked to make a decision of tremendous importance to my household -- a decision that would affect the welfare of everyone in my family. That decision, of course, was whether to continue to receive Netflix movies by mail, or opt for the
A women’s specialty retailer operating more than 1,000 boutiques, Chico’s FAS, Inc. was faced with a significant challenge: reducing the number of markdowns while more effectively targeting its middle- to high-income clientele. To achieve these goals, the company needed to optimize its prices and more effectively target its most valuable customers,
The other day I encountered a SAS Knowledge Base article that shows how to count the number of missing and nonmissing values for each variable in a data set. However, the code is a complicated macro that is difficult for a beginning SAS programmer to understand. (Well, it was hard
As schools across the country delve into a new year, I want to bring my readers back to teaching basics with Part 2 of my Three R’s series on Rigor, Relevance, and Relationships. Here's Part 1. As students flood our halls and classrooms, are they eager and excited for the challenging year ahead? Do
One of the hottest topics on today's agenda for financial institutions is FFIEC's recently released guidance supplement calling for layered fraud secuity and authentication. So, during the recent Terrorism Financing and Money Laundering Forum in Cary, North Carolina, a panel discussion on fraud was developed to discuss emerging trends in fraud -
Metadata is data about data. For the purposes of his NESUG 2011 presentation, Frank DiIorio defined metadata more precisely as data about data and data that describes workflow objects and processes. DiIorio wrote his paper because organizations are challenged more and more today to do more with less. Metadata can
As I mentioned in my introductory post about Windows PowerShell, you can use PowerShell commands as a simple and concise method to collect data from your Windows systems -- information that is ripe for analysis within SAS. In this example, I'll show a technique for using a SAS program to
Look at the following graphs showing one weekly time series. The left hand shows the actual time series plot. To the less statistically inclined this plot might indicate that the data is seasonal due to the troughs during summer and the peaks during winter. However, if you were to use
In this guest blog, my colleague Snurre Jensen (Analytic Solutions Manager, SAS EMEA Technology Practice) discusses a fine point regarding the word “seasonality” in time series forecasting. When we see general ups and downs in the data that tend to repeat year after year, we commonly refer to this as
The SAS Power Series Tour had its most recent stop in the heart of Silicon Valley, San Jose. This gave me another chance to test my hypothesis that firms in the Valley are not big users of analytics. My theory goes that high-tech firms are much more focused on creating