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Did you know that the FREQ procedure in SAS can compute exact p-values for more than 20 statistical tests and statistics that are associated with contingency table? Mamma mia! That's a veritable smorgasbord of options! Some of the tests are specifically for one-way tables or 2 x 2 tables, but many apply
SAS experts, users and decision makers are taking over Las Vegas this week while attending Analytics 2015 and The Premier Business Leadership Series. Whether you are in Vegas or need to participate from afar, read on for help to stay in tuned and be a part of it all. Watch
Ok, so the title is a little provocative, but some people are dubious that data science training is even possible, because they believe data science entails skills one can learn only on the job and not in a classroom. I am not in that camp, although I do believe that data
When I was a kid, I always found it difficult to pick a Halloween costume. Now that I'm older, perhaps I can use computers & analytics to make my decision (and yours) easier! ... There are several different schools of thought on Halloween costumes - for example, some like to
“Field of dreams warehouse”– a historic phrase I used in the early days of data warehouse development. It describes the frenzy of activity that took place to create enterprise data infrastructure, before the business rationale for the data use was even understood. Those were the early days. In some ways
I don’t know about you, but I'm asked every day where some type of data lives in our enterprise. I keep thinking that we have not done a good job of helping people learn to help themselves! A few things I have learned about corporate data assets are: The data
To kick off his presentation at MWSUG2015, SAS’ Chevell Parker flashed a picture of an old-school phone booth and asked the audience where he could find the nearest one. Met with several seconds of silence, he smiled. “Don’t all answer at once!” The point of his question was obvious: as
How does SAS integrate with Hadoop? That's a question we often hear from people new to SAS who want to learn more about using SAS with Hadoop. At Strata + Hadoop World earlier this month, we were able to not only talk to attendees to answer their questions -- we were able to show
The Rule of Three is a writing principle that suggests that things that come in threes are inherently funnier, more satisfying, or more effective than other numbers of things – Wikipedia. 3 Ps of success, Blind Mice, Little Pigs, Stooges, Musketeers, The Matrix, The Lord of the Rings, rings, pairs
Jim Harris explains why it's especially important to assess the quality of metadata when it comes to big data.
As of Visual Analytics 7.2, the home page is designed to serve as the entry point for not only Visual Analytics, but also additional SAS applications and solutions. To this end, the SAS Visual Analytics home page is documented in both the SAS Visual Analytics Administration Guide and the SAS Intelligence
Today’s society is all about doing things faster, smarter, better—including the food industry. While on the surface this may sound like a great idea (who wouldn’t want cooking to be faster, smarter, better?!), in reality the luxury of today’s convenient processed foods comes with a price tag: your health.
In my first post of the analytics in real life blog series, we heard four higher education customers discuss using SAS and why they chose SAS. Today we will hear the following three customers share the positive impact of using SAS and analytics for their users and institution. Karl Konsdorf, Acting
My last post, Pitching analytics: recommendations on how to sell your story, discussed the steps I consider when winding up for an analytics pitch. In part 2 of this series I share the tips and tricks I have acquired for throwing strikes for during your analytics pitch. Like everyone, sometimes
La integración del Big Data en los procesos y programas de gestión de datos existentes se ha convertido en algo así como una llamada de alerta para las organizaciones en su afán de convertirse en empresas del siglo XXI. Jim Harris, blogger y obsesivo-compulsivo del Data Quality, nos da estos