Aligning strategic considerations with customer expectations
How is SAS positioned to support the strategic goals of Retail & Consumer Goods businesses?
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Exploring innovative modeling designs built to battle bias
Students at North Carolina State University completed design projects yielding striking visuals, purpose and functionality without unethical design characteristics. If you were to design the ultimate vacation home, you would most certainly consider options and features that speak to your individual preferences and style. It turns out that same inclination
The many functions of fiber
Fiber is one of those things we all know we need to get more of. We may not be sure why, but we hear it everywhere. Are you constipated? Eat more fiber (and drink more water). Do you have diarrhea? Eat more fiber. But fiber does way more for us
The social impact of data science: improving the mental health for cancer patients with AI
A cancer journey affects both physical and mental health. This often results in feelings of social isolation, loss of identity, clinical depression and even PTSD. This often goes unrecognized and undiagnosed due in part to lack of resources, tools and time. Swedish startup War On Cancer wondered whether they could
Fascial Health with Self-Myofascial Release
Fascial health, research, and the practice of self-myofascial release (SMR) has exploded in the health and fitness industry over the last several years. Curious as to what all the hypes about? Let’s dive in! What is Fascia? Fascia is an interconnected form of connective tissue in the body (tendons, ligaments,
The derivative of the determinant of a matrix
Did you know that there is a mathematical formula that simplifies finding the derivative of a determinant? You can compute the derivative of a determinant of an n x n matrix by using the sum of n other determinants. The n determinants are for matrices that are equal to the original matrix
Sustainability starts with data – an interview with Malinda Salter
The topic of sustainability has always been on the agenda at SAS in one way or another. As we become more educated and aware across the globe, and more regulatory factors come into play, expectations and accountabilities are under scrutiny like never before. I caught up with Malinda Salter, Senior
Who is responsible when AI is irresponsible?
We hear a lot about responsible AI or AI ethics in the marketplace today. At SAS, we believe there should be a larger conversation about responsible innovation. In reality, the decisions made by AI are the outcome of algorithms, data and business processes. This means ethical considerations must be applied
Configuring authentication for SAS Viya multi-tenancy: A 3-part series
The SAS Viya LTS 2021.2 release supports application multi-tenancy. This 3-part series reviews how authentication can be configured.
How new regulations could streamline climate-related financial risk disclosures
Today’s investors are eager to understand the climate-related risks of their business investments, not just because they are becoming more climate-conscious but also because climate-related risk can bring financial risk. A newly proposed rule in the US aims to bring more transparency to those risks. In March, the US Securities
Strategies for Stress and Overcoming Overwhelm
Many of us feel stressed at times. We may have a large to-do list, varied personal or professional tasks and so on. While short-term stress serves a purpose to get things done, a sense of overwhelm is a red flag that we are reaching our emotional capacity. As we recognize
High-performance calculation of heat maps using CAS
SAS' Jordan Leiker shows you how any CAS action can be used with image data to create heat maps.
Bootstrap estimates for nonlinear regression models in SAS
In The Essential Guide to Bootstrapping in SAS, I note that there are many SAS procedures that support bootstrap estimates without requiring the analyst to write a program. I have previously written about using bootstrap options in the TTEST procedure. This article discusses the NLIN procedure, which can fit nonlinear
5 best practices for optimizing ModelOps with SAS® Model Manager and Azure Machine Learning, part 3
Just getting started with this series? Make sure to explore Part 1 and Part 2. There are different ways you can use these two tools to accelerate model building, deployment and monitoring. Figure 1 summarizes best practices for conducting ModelOps using SAS Model Manager and Azure Machine Learning. Best practice
2 states take a data-driven look at learning loss and recovery
We recently passed the two-year anniversary of US school closures that transformed schooling for students, teachers and parents. The pandemic induced the largest remote learning experiment in history. But, lack of time to prepare for remote education and unequal internet and device access left many students unserved or underserved. It was
7 tips to prioritize your wellbeing while transitioning to hybrid work
Now more than ever, as the lines blur between work and life, our well-being affects how we show up at work as well as how we thrive in our personal lives. As many of us transition out of full-time remote work and into a new hybrid routine, it’s important to
Inclusion is a "BIG" deal at SAS
At SAS, creating an inclusive work environment where employees can thrive and be their authentic selves is deeply important to us. Our Employee Inclusion Groups (EIGs) are key to fostering a sense of belonging and acceptance. But what exactly do these groups do? Today, meet the Black Initiatives Group (BIG)
Simulate the null distribution for a hypothesis test
Recently, I wrote about Bartlett's test for sphericity. The purpose of this hypothesis test is to determine whether the variables in the data are uncorrelated. It works by testing whether the sample correlation matrix is close to the identity matrix. Often statistics textbooks or articles include a statement such as
Area Bar Charts using SGPLOT
The SGPLOT procedure supports a wide variety of plot types that you can use directly or combine together to create more complex graphs. Even with this flexibility, there might be times you run across a graph that you cannot create using one of the standard plot types. An "area" bar
Running CMS-HCC Risk Adjustment models with SAS Analytics Pro on Viya
The CMS-HCC Risk Adjustment models are used to reimburse Medicare Advantage plans based on the health status of the plans’ members. CMS-HCC Risk Adjustment is the practice of assigning a risk score based on demographics and diagnoses to an individual beneficiary of Medicare for the purpose of calculating an expected cost of care, relative to the average beneficiary. Accurate risk adjustment requires an accurate diagnostic profile of an individual on an annual basis, documenting diagnoses via submitted claims or within a provider's medical record.
Rolling down the supply chain: The effects of the 2020 toilet paper crisis
You read “First COVID case reported in America” on your phone, not thinking much of it. Why should you, it’s just a regular day in January 2020, right? A couple months later, the world drastically changes. While we have all learned a lot since then, a question that still boggles
Computer vision solutions with privacy-by-design
SAS' Hamza Ghadyali reveals how to build computer vision solutions with privacy baked into their design.
5 ways to optimize cholesterol with nutrition
Cholesterol is one of many factors that impact your risk of heart disease. Cholesterol itself is not the enemy, but when the types of cholesterol and the particles carrying them around are out of balance, it’s time to make some adjustments to decrease your risk.
On Bartlett's sphericity test for correlation
When you have many correlated variables, principal component analysis (PCA) is a classical technique to reduce the dimensionality of the problem. The PCA finds a smaller dimensional linear subspace that explains most of the variability in the data. There are many statistical tools that help you decide how many principal
The 5 characteristics of a future-fit, data-driven organisation
Change is the only constant, and it doesn’t happen overnight. This is particularly true in the world of data analytics. As organizations are looking to become more digital, resilient and profitable, executives are going back to the whiteboard to reconsider how they’re using data and analytics to transform their business.
Misnomers regarding outliers and their usefulness in statistical modeling
Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really
Mastering the art of persuasion: SAS Safe Roads contest helps develop students’ storytelling skills
As companies continue to amass zettabytes of data, the talent hunt for data scientists who can create clarity out of all the noise, has never been greater. But one of the greatest challenges a data scientist faces is communicating the uncovered insights wrangled from the relevant data to decision-makers. To
Two perspectives on numerical integration
To a numerical analyst, numerical integration has two meanings. Numerical integration often means solving a definite integral such as $$int_{a}^b f(s) , ds$$. Numerical integration is also called quadrature because it computes areas. The other meaning applies to solving ordinary differential equations (ODEs). My article about new methods for solving
Optimizing bar label placement
When creating bar charts, it is very common to display labels with the bars to make it easier to determine the bar values or to provide additional information in the chart. However, these labels can take away valuable data space, particularly if you generate a smaller-sized graph. As you see
Earth Day 2022 – an interview with SAS specialists about analytics and climate resilience
Leaders from businesses and governments across the world continue to show progress on a range of critical environmental topics, addressing climate resilience and taking actions to ensure a more sustainable and thriving planet. Advancements and innovations continue to open new avenues for environmental leadership – and the use of data
