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Shelly Goodin 0
SAS author's tip: Using the SPARSE option with PROC FREQ

This week's SAS tip is from Art Carpenter and his latest book Carpenter's Guide to Innovative SAS Techniques. A SAS user since 1977, Art is an integral and highly respected member of the user community. He's also the author of several outstanding SAS books--and you can explore them here. The following excerpt is from SAS

Gastbeitrag 0
Über Self-Service Business Intelligence - ein Beitrag von Dr. Wolfgang Martin

Der Anspruch des Konzeptes Business Intelligence ist, Entscheidungen auf Fakten zu stellen und bessere Entscheidungen zu treffen. In den Anfangszeiten von Business Intelligence hat man dabei eine Frage vernachlässigt: Welche Fähigkeiten und Unterstützung braucht man, um erfolgreich, effektiv und effizient mit Business Intelligence-Konzepten und Werkzeugen arbeiten zu können?

Dylan Jones 0
How to nurture a data steward culture

In my last post I discussed one of the important traits that I feel truly great data stewards possess – the ability to effect change. Today I want to talk about how you actually identify, train and nurture everyday workers into the role of data stewards. Most organisations don’t have

Learn SAS
Rick Wicklin 0
Rotating matrices

This article is about rotating matrices. No, I don't mean "rotation matrices," I mean rotating matrices. As in turning a matrix 90 degrees in a clockwise or counterclockwise direction. I was reading a program written in MATLAB in which the programmer used a MATLAB function called ROT90, which rotates a

Rick Wicklin 0
Why it's okay to guess on the SAT test

Should you ever guess on the SAT® or PSAT standardized tests? My son is getting ready to take the preliminary SAT (PSAT), which is a practice test for the SAT. A teacher gave his class this advice regarding guessing: For a multiple-choice questions, if you can eliminate one or two

Rick Wicklin 0
Two applications of the "runs test"

In my last blog post I described how to implement a "runs test" in the SAS/IML language. The runs test determines whether a sequence of two values (for example, heads and tails) is likely to have been generated by random chance. This article describes two applications of the runs test.

Phil Simon 0
Big data and the project mentality

Is big data becoming too big to ignore? An increasing number of organizations seem to think so. As Matt Asay on ReadWriteWeb writes: According to a recent Gartner report, 64% of enterprises surveyed indicate that they're deploying or planning Big Data projects (emphasis mine). Yet even more acknowledge that they

Mike Gilliland 0
FVA training at Analytics2013 in Orlando

Forecast Value Added (FVA) is a metric for comparing the performance of your organization’s forecasting process to “doing nothing” and using a naïve model to generate your forecasts. The idea is, if all the resources and effort we put into forecasting are not providing forecasts that are better than using

Rick Wicklin 0
The first MOOC in statistics

Massive open online courses (MOOCs) are all the rage today. Some people see free online courses as a convenient way to introduce statistical concepts to tens of thousands of students who would not otherwise have an opportunity to learn about data analysis. Whereas 2013 is the International Year of Statistics,

Data Visualization
Sanjay Matange 0
Visual Index

Some of you may have already noticed the small graphical icon on the lower right side of the blog article labeled "Graphically Speaking Index".   Yes, it is a link to a visual index for all articles published in this blog.  Well, eventually it will have all the articles. So far, I

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