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Dirk Mahnkopf 0
Fit und gesund durch die Nutzung von Daten

„Bluthochdruck, der leise Killer“, so lautete die knappe und ernüchternde Diagnose des Arztes. Gewiss, Bluthochdruck ist die häufigste Volkskrankheit in Deutschland. Die letzte Zeit war stressig, an Sport war schon lange nicht mehr zu denken - aber warum musste gerade mich das Schicksal dieser Krankheit treffen? Unter dem Eindruck möglicher

Learn SAS
Eric Rossland 0
Not the same ol’ middle tier

The SAS Middle Tier is all new for SAS 9.4, and you might not recognize it. Gone are the third-party web application servers. Gone is the third-party Java development kit. Missing major components like those may cause you to ask yourself, “Does SAS still have a middle tier?”  With the

SAS Colombia 0
Mejore su desempeño a partir del análisis de datos

Es probable alguna vez en su vida haya hecho una matriz identificando debilidades, oportunidades, fortalezas y amenazas (DOFA) en su equipo de trabajo o en su organización y que por eso el tema le suene familiar. Sin embargo, realmente ¿ha hecho un análisis profundo para saber cuáles son sus amenazas?

Jim Harris 0
Bring the noise, boost the signal

Many people, myself included, occasionally complain about how noisy big data has made our world. While it is true that big data does broadcast more signal, not just more noise, we are not always able to tell the difference. Sometimes what sounds like meaningless background static is actually a big insight. Other times

Rick Wicklin 0
Stigler's seven pillars of statistical wisdom

Wisdom has built her house; She has hewn out her seven pillars.      – Proverbs 9:1 At the 2014 Joint Statistical Meetings in Boston, Stephen Stigler gave the ASA President's Invited Address. In forty short minutes, Stigler laid out his response to the age-old question "What is statistics?" His answer was

Analytics | Learn SAS
Eric Rossland 0
A tale of two administrators

You are the new SAS Administrator. After the initial shock or excitement, you sit back and wonder, “What does that MEAN???” In an enterprise environment there are often divisions of duties. The SAS Intelligence Platform is no exception. Just take a look at the architecture. Just looking at this picture,

Rick Wicklin 0
Reversing the limits of integration in SAS

In SAS software, you can use the QUAD subroutine in the SAS/IML language to evaluate definite integrals on an interval [a, b]. The integral is properly defined only for a < b, but mathematicians define the following convention, which enables you to make sense of reversing the limits of integration:

Maggie Miller 0
SAS author’s tip: What is Clinical Endpoint Committee data?

This week’s author tip is from Jack Shostak’s new book SAS Programming in the Pharmaceutical Industry, Second Edition. Shostak has been using SAS for nearly 30 years. In that time, he’s co-authored two other books, Common Statistical Methods for Clinical Research with SAS Examples, Third Edition, and Implementing CDISC Using

Learn SAS
Larry Stewart 0
Thanks a Million

In July, we trained our 1 millionth user. It’s a significant milestone for SAS. In celebration, we want to recognize our customers and say “thank you” for making a commitment to us for your learning. Now through Aug. 31, we are offering a special Buy One, Get One 50-percent off

SAS Colombia 0
Conozca las nuevas tendencias de la gestión del riesgo

Para ganar en el mercado, las organizaciones deben estar innovando todo el tiempo, esto significa moverse rápido, entrar en nuevos mercados estar más accesibles para los clientes, lanzar nuevos productos y tener precios cada vez más competitivos. Pero entre más innoven y compitan, mayores son los riesgos que deben enfrentar

Internet of Things
Anne Belder 0
Why we need digital banks

We often hear from retail bank customers that they aren't satisfied with the revenue captured through digital channels. It was therefore with great interest that I embarked on the mission to understand Chris Skinner’s book Digital Bank. Why we need digital banks The book starts by painting the landscape of

Analytics
Patrick Maher 0
There’s no ‘I’ in analytics

A few years ago I discussed the idea of analytic resources as ‘all-stars’ rather than ‘rock stars.’ While this previous blog certainly touched on the team aspect of analytic work, recently I’ve been thinking about just how much teamwork is required to make an analytics project successful. From extracting data,

Jim Harris 0
The ethics of algorithmic regulation

In my last three posts on data ethics, I explored a few of the ethical dilemmas in our data-driven world. From examining the ethical practices of free internet service providers to the problem of high-frequency trading, I’ve come to realize the depth and complexity of these issues. Anyone who's aware of these

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