Higher education is a buyer’s market today, with the student being the buyer, according to Nick Hillman, director of the Higher Education Policy Institute. And don’t universities know it. Not only are they dealing with tuition fee caps, but they face mounting competition from other educational institutions. There are many UK
English
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When I talk with more analytically savvy users of SAS® Text Miner or SAS® Contextual Analysis, I inevitably get asked questions about why SAS uses a completely different approach to topic generation than anybody else and why should they trust the approach SAS adopts? These are good questions. I first
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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
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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
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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
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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
![businesswoman considering data lakes and hadoop](https://blogs.sas.com/content/datamanagement/files/2017/06/536686446.jpg)
Jim Harris explains why it's especially important to assess the quality of metadata when it comes to big data.
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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
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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.
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How do you simulate a contingency table that has a specified row and column sum? Last week I showed how to simulate a random 2 x 2 contingency table when the marginal frequencies are specified. This article generalizes to random r x c frequency tables (also called cross-tabulations) that have the same marginal row
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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
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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
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Good news SAS users; you are a hot commodity. That’s the primary message Kirk Paul Lafler from Software Intelligence Corporation and Charlie Shipp of Consider Consulting Corporation delivered to a room full of users at MWSUG 2015. Citing figures from the Bureau of Labor Statistics and a recent CNN Money
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It's that time of year again - time to choose what Halloween candy to buy for the trick-or-treaters! This is always a tough decision that has me angsting in the candy aisle. And if selecting the perfect candy wasn't enough pressure, my city (Cary, NC) was recently recognized as #1 on
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You’ve read their books. You’ve probably even met them at conferences. But now, we’re revealing another side of our beloved SAS authors in this list of fun facts. Prepare to be surprised. Hint – one of the authors swims with sharks. Tricia Aanderud Tricia has over 100 jokes memorized -
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With Big Data, there are far more technical questions than answers.
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A recent question posted on a discussion forum discussed storing the strictly upper-triangular portion of a correlation matrix. Suppose that you have a correlation matrix like the following: proc iml; corr = {1.0 0.6 0.5 0.4, 0.6 1.0 0.3 0.2, 0.5 0.3 1.0 0.1, 0.4 0.2 0.1 1.0}; Every correlation
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Pink and blue. These colors are often synonymous with gender. In fact, when I was pregnant 16 years ago, we had no idea of our baby’s sex. At the shower, we received lots of blue, green and yellow clothing, but no pink. It’s interesting how blue can represent both male
![Shoe Shopping](https://blogs.sas.com/content/sascom/files/2015/10/Shoe-Shopping.jpg)
All of us in the retail and wholesale industry, regardless of role, are responsible for the same objectives: Increase customer satisfaction, inventory productivity, and profitability by way of localization and omni strategies. We've learned that our best strategies sometimes fall short; we spend significant effort analyzing, only to achieve marginal results. Many of
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All axis customization features are always welcome. Especially since SGPLOT statements can often be used to create non standard graphs, having the ability to customize the axes is important. This article presents ways in which you can customize the discrete axes. By default, the x axis will try to display the
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No one knows for sure who coined the term Big Data. Despite etymological studies, we are still no closer to attributing provenance to any one person, or indeed any one period. Some say the term was coined in the '80s, others believe the '90s – and many are convinced the term originated
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A coworker was recently in need of some simple graphics to include in a slide show to accompany her SAS Global Forum paper. After listening to what she wanted, I decided that I could use PROC SGPLOT to create those images for her. The first image was a set of stacked
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Creating a grocery shopping list can be overwhelming for a variety of reasons. Lack of experience, picky eaters, and new recipes can turn an ambitious cook into an overwhelmed procrastinator. In this blog post I’ll show you an easy SAS Enterprise Guide project that uses prompts to create a simple
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More and more of my friends seem to be eating less and less meat, for various reasons (such as religious, health, social conscience, weight loss, personal preference, cost savings, etc). So I thought I would put together a graph to help them find alternate sources of protein. While searching for
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In today’s brave new technological world, most of us live cocooned in thermo-regulated cars and buildings. Our food and drink is on tap, and we experience little inconvenience beyond death and taxes. It’s easy to forget that life as we know it would come to an abrupt halt without the
The Internet of Things, that glorious futurescape in which billions of connected devices take much of the work and tedium out of daily living. As human beings, we’re addicted to our stuff and what it does for us. So a world in which most of our cell phones and other
![students using new tools to understand streaming data](https://blogs.sas.com/content/datamanagement/files/2017/03/505767609.jpg)
Jim Harris discusses perspectives on the question of how much quality big data really needs.
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Sizing is a topic that solutions managers typically leave until the end after decisions about the application have been settled. But there are often many variables that can impact the final size requirement. We have seen across our customer base that sizing and the number of environments has been determined
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When modeling and simulating data, it is important to be able to articulate the real-life statistical process that generates the data. Suppose a friend says to you, "I want to simulate two random correlated variables, X and Y." Usually this means that he wants data generated from a multivariate distribution,
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Have you been in your attic lately? Or maybe cleaned out that closet that all of your “stuff” seems to gravitate to? Sure, mostly you’ll just find old junk that is no longer useful or purely nostalgic, but every once in a while you come across those long lost treasures