A day in the life of the SAS Platform Administrator
SAS instructor Raymond Thomas describes a typical day in the life of a SAS Administrator.
English
8 terms you need to understand when assessing COVID-19 data
Dashboards and metrics support data-driven decisions – if you understand the terms.
8 ways to use the Kronecker product
The Kronecker product (also called the direct product) is a binary operation that combines two matrices to form a new matrix. The Kronecker product appears in textbooks about the design of experiments and multivariate statistics. The Kronecker product seems intimidating at first, but often one of the matrices in the
Cultural and process complications: Digital transformation during a pandemic
Alena caught up with Pedro Peleja, Technology Transformation Director at Una Seguros, to talk about digital transformation.
SAS and Open-Source Model Management (free eBook)
Turn analytical models into business value and smarter decisions with this special collection of papers about SAS Model Management. Without a structured and standardized process to integrate and coordinate all the different pieces of the model life cycle, a business can experience increased costs and missed opportunities. SAS Model Management solutions enable organizations to register, test, deploy, monitor, and retrain analytical models, leveraging any available technology – including open-source models in Python, R, and TensorFlow –into a competitive advantage.
Splitting a data set into smaller data sets
SAS' Leonid Batkhan shows you how to split a large data set into many by a subsetting by a number of observations to produce smaller, better manageable data sets.
5 ways to evolve the modeling process after COVID-19
Move from rapid response to long-term resiliency based on these 5 tips.
Fit a multivariate Gaussian mixture model by using the expectation-maximization (EM) algorithm
Last month a SAS programmer asked how to fit a multivariate Gaussian mixture model in SAS. For univariate data, you can use the FMM Procedure, which fits a large variety of finite mixture models. If your company is using SAS Viya, you can use the MBC or GMM procedures, which
The Forecaster as The Confidence Man
Everyone is familiar with The Confidence Man. This person can spout any sort of nonsense and easily demonstrable lies, and yet 40% of the people still believe him. The Confidence Man exposes a curious characteristic about human behavior: If you make your assertions with extreme confidence, no matter how obviously
Nutrition and COVID, what we know so far
COVID-19 has significantly altered our lives in many ways. While we continue to focus on mitigating infection rates by staying at home, social distancing when out, frequent handwashing and wearing masks, it’s important to think about how we can increase our resilience so that if we do get sick with
4 corners of the resilient partnerships jigsaw puzzle
For SAS and its partners, it provides opportunities for growth, new markets, and better service.
Who the heck was Ishikawa?
What leads to development of Machine Learning and Artificial Intelligence techniques to find complex patterns in data?
How to create a path-based CASLIB to SASWORK for speedier analysis with SAS® Viya®
Is there programmatic way to reduce memory requirements of a CAS table in SAS® Viya®? Yes! SAS' Steven Sober shows you how.
Athlete to Advocate: Lindsay's Story
July marks the 30th anniversary of the Americans with Disabilities Act (ADA), a landmark civil rights legislation that has positively impacted the lives of millions of people with disabilities in the United States. It’s always a good time to hear the perspectives of others, and this time presents a unique
Premier League champs offer lessons on and off the field
When Liverpool clinched the Premier League title with a win on June 25, my household was giddy. We are a family of sports fans, and we especially love baseball (Go, Red Sox!) and soccer. I’m a relative newbie to Liverpool, having cheered for them for the last five years. Having
Six ways Intelligent Decisioning can reduce costs for governments
If the UK economy is going to achieve the target of bringing all greenhouse gas emissions to net zero by 2050 the application of Intelligent Decisioning will play a major role in helping achieve this target.
Compute within-group multivariate statistics and store them in a list
I recently showed how to compute within-group multivariate statistics by using the SAS/IML language. However, a principal of good software design is to encapsulate functionality and write self-contained functions that compute and return the results. What is the best way to return multiple statistics from a SAS/IML module? A convenient
Friends Who Help Me Weed
Lately, every time I talk to Natalie on the phone, I find myself walking outside to weed my garden. I weed with one hand and hold the phone with the other and sit in the dirt and enjoy the sun. It occurred to me today that weeding was a metaphor
Utilities, forget the Duck Curve, and get ready for the Turducken Curve
Ever heard of a Turducken? It's a chicken stuffed inside a duck that's stuffed inside a turkey along with layers of stuffing (which I just learned is referred to as a three-bird roast outside the US and Canada; there's also an English variant known as a gooducken, where the turkey
The business case for kindness in the utilities sector
Utility companies have a choice: aggressive debt collection, or debt forgiveness or ‘holidays’.
AML and fraud prevention: Better together?
Why fraud prevention and anti-money laundering teams can learn a lot from each other—and how convergence can benefit both.
Snack wrappers and noisy parents: Being a virtual intern during COVID-19
I was supposed to be behind a desk downing M&M’s and enjoying the SAS campus and all its glory. But instead, I’m working from home as an external communications intern. Working from home has been a blessing filled with challenges I never thought I’d experience this summer. The first one
How to evaluate the multivariate normal log likelihood
The multivariate normal distribution is used frequently in multivariate statistics and machine learning. In many applications, you need to evaluate the log-likelihood function in order to compare how well different models fit the data. The log-likelihood for a vector x is the natural logarithm of the multivariate normal (MVN) density
Adjusting outliers with the 1.5 IQR rule
In my new book, End-to-End Data Science with SAS: A Hands-On Programming Guide, I use the 1.5 IQR rule to adjust multiple variables. This program utilizes a macro that loops through a list of variables to make the necessary adjustments and creates an output data set. One of the most
Digital tax administration: The top 5 trends
SAS experts point to five trends that are shaping the future for digital tax administration.
Data visualization and location analytics: 'Where' can tell you 'why'
Human brains are hardwired to build maps. We navigate the world around us through the creation of mental maps. Maps that assemble abstract landmarks and build spatial relationships between them. If you think about how you navigate through your house, even in the dark, it is quite amazing. Maps have
A parallel implementation of Monte Carlo simulation in SAS Viya
A previous article introduces the MAPREDUCE function in the iml action. (The iml action was introduced in Viya 3.5.) The MAPREDUCE function implements the map-reduce paradigm, which is a two-step process for distributing a computation to multiple threads. The example in the previous article adds a set of numbers by
Pandemic code samples, for SAS graphics
During the 2020 Coronavirus pandemic, you've probably formed a great appreciation for good, informative graphics. Good graphics can help you get a handle on thousands of individual data values, see the geographical distribution, or look for trends. In February, I wrote a blog post about creating a coronavirus dashboard with
Our customer-centric approach for integrating with Microsoft in the cloud
Last month, SAS and Microsoft announced a new strategic partnership – one that we believe will shape the future of analytics and artificial intelligence. You may be wondering as a customer what this partnership means for you. As an IT leader, I’ve had a front-row seat for the collaborative relationship
Are your hospital resources at risk of hitting capacity?
How have healthcare providers and governmental agencies predicted the fast-changing, potentially exponential increase in the need for medical services and equipment through the various stages of the COVID-19 pandemic? Mathematical techniques that attempt to model and understand the likely spread of the disease have been instrumental. The SEIR model is