Some observant readers may have noticed a new icon on the right sidebar of this blog announcing the release of the new SAS Press book on the ODS Graphics Designer, written in collaboration with Jeanette Bottitta. Jeanette is a Technical Writer at SAS and has worked on various SAS Graphics products
Imagine making $50K a day out of thin air. Did you know that NASDAQ routinely processes around 10,000,000 trades a day? What if instead of rounding cents for each transaction, market makers truncated fractions of cents in the amount they owe you? Under the assumption that each transaction, on average,
The financial crisis led to a deep reflection on the things that Banks and other financial institutions were doing wrong. The most significant factor that led to bad business decisions and in extend the results that we have all been experiencing the past few years, was uninformed analytics. This is
“Analytics” and “data scientist” aren’t new terms, but they are trending buzzwords. The popularity of these concepts has created a false impression: Analytics are mysterious abstractions that can only be decoded if you have a white lab coat and an advanced degree in computer science. The reality couldn’t be more different.
Have you ever thought how many problems in your business can be solved through analytics? I bet you stumble on that thought at least once a month but I'm also confident that maybe you see the thing in different terms. Let me put it like that: have you ever noticed strange patterns
I was surprised to learn recently that despite the reams of laws and policies directing the protection of personally identifiable information (PII) across industries and government agencies, more than 50 million Medicare beneficiaries were issued cards with a Medicare Beneficiary Number that's based on their Social Security Number (SSN). That's
We want to extend a huge thank you to everyone who donated their leftover (and excess) Halloween candy this year, you outdid yourselves!! We tipped the scales right at 450 pounds of candy!
Out of the bosom of the Air, Out of the cloud-folds of her garments shaken, Over the woodlands brown and bare, Over the harvest-fields forsaken, Silent, and soft, and slow Descends the snow. "Snow-flakes" by Henry Wadsworth Longfellow Happy holidays to all my readers! In my last post I showed
Clinical research generates extensive amounts of data, yet most of it is siloed or generally unavailable to a larger pool of willing potential researchers. If this data were liberated to the masses, we would venture into a world of endless possibilities where the search for new cures and treatments could
Last week, I attended the IALP 2016 conference (20th International Conference on Asian Language Processing) in Taiwan. After the conference, each presenter received a u-disk with all accepted papers in PDF format. So when I got back to Beijing, I began going through the papers to extend my learning. Usually, when
Editor's note: Amanda Farnsworth is Head of Visual Journalism at BBC News and a featured speaker at SAS Global Forum 2017, April 2-5, 2017 in Orlando. My days are spent trying to put the best content we can in front of our loyal, heartland audience, while reaching out to others,
You've probably seen dramatic pictures in the news lately about the protests against the Dakota Access Pipeline - Native Americans versus bulldozers, protesters and tipis in a blizzard, and things like that. But do you really know much about this pipeline? For example, where will it go, and where have the
With educator preparation programs (EPPs) under fire, states must make difficult decisions on how to hold EPPs accountable, provide information for program improvement, and offer consumer information to the public on EPP efficacy. In conversations I’ve had with state leaders grappling with this issue, I have seen a debate arise
Historically, before data was managed it was moved to a central location. For a long time that central location was the staging area for an enterprise data warehouse (EDW). While EDWs and their staging areas are still in use – especially for structured, transactional and internally generated data – big
In a previous blog about SAS Studio I’ve briefly introduced the concept of using the Webwork library instead of the default Work. I also suggested, in SAS Global Forum 2016 paper, Deep Dive with SAS Studio into SAS Grid Manager 9.4, to save intermediate results in the Webwork library, because
I have a fondness for fractals. In previous articles, I've used SAS to create some of my favorite fractals, including a fractal Christmas tree and the "devil's staircase" (Cantor ) function. Because winter is almost here, I think it is time to construct the Koch snowflake fractal in SAS. A
Being an industry disruptor is a lonely place to be – but if you’re successful, the rewards are well worth the initial risk. Betting big on your new way of doing things takes courage, and is only the first step in a risky process. Your next critical step is to
Browsing on the web, I ran into a simple but visually interesting graph of financial data. Really, it could be any data, but this one showed up under "Financial Graphs". I thought this would give me an opportunity to speak about an interesting new feature added to SERIES plot with
During a recent customer visit, I was asked how to include a calculated variable within SAS Asset Performance Analytics’ (APA) Root Cause Analysis workflow. This is a simple request. Is there a simple approach to do this? To remind you, in the APA workflow, an ETL Administrator makes a Data
Are you ready for the supermoon on December 14? This will actually be the 3rd supermoon in 2016! With these big-looking full moons we're having this year, I got to wondering exactly how big is the moon compared to Earth? This seems like a good question to answer with some
It's that festive time of year again, so you may want to build yourself a fire and grab a cup of hot chocolate as you prepare for a rousing round of holiday/IT joy. Grab your co-workers and gather around the water cooler while singing along to this post and others
In the first blog of this four-part series, we discussed traditional data management and how we can apply these principles to our big data platforms. We also discussed how metadata can help bridge the gap of understanding the data as we move to newer technologies. Part 2 will focus on
Strengthens core. Opens hips, psoas, shoulders, chest and back. Also aids in digestion. One-Legged King Pigeon Pose (Sanskrit: Eka Pada Rajakapotasana)
This is the 3rd installment of the Getting Started series, and the audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets here. The Tukey box plot is popular among statisticians for viewing the distribution of an analysis variable with or without
This student projections post kicks off a series highlighting education leaders sharing the celebrations, and challenges, of using data to drive school improvement. These are real teachers, principals and superintendents working to foster academic growth for every student in their schools and districts. As we near the end of the first
As technology expands, we have a similarly increasing need to create programs that can be handed off – to clients, to regulatory agencies, to parent companies, or to other projects – and handed off with little or no modification needed by the recipient. Minimizing modification by the recipient often requires
Parents are always proud of their kids, and think their kids are better than all the other kids. I guess it might be a little bit that way with mapping software ... but I really do think I've got a pretty compelling example to show that SAS maps are better
@philsimon says that it's downright silly to ignore the benefits of thinking about data-related issues in different and unexpected ways.
If you’ve worked hard to reduce added sugars in your eating plan, the looming holiday sugar fest can send shivers down your spine. It’s not visions of sugar plums causing concern; it’s the fear of turning into the blueberry girl from Charlie and the Chocolate Factory!
Many SAS procedure compute statistics and also compute confidence intervals for the associated parameters. For example, PROC MEANS can compute the estimate of a univariate mean, and you can use the CLM option to get a confidence interval for the population mean. Many parametric regression procedures (such as PROC GLM)
