In a world obsessed with AI and algorithms, it’s easy to assume that the biggest challenge in analytics is technical. It’s not. It’s human. How can enterprises nurture a culture that truly uses data-driven decision making? What role do leaders at every level play? And how does targeted education help
What is Cohen's d statistic and how is it used? How can you compute it in SAS? This article gives some history behind Cohen's d statistic. It shows how to compute the statistic in SAS for the difference in means between two independent samples. It shows how to estimate a
Let SAS handle the data prep, R take care of the modeling, and skip the environment-hopping so your team can focus on building cool stuff faster.
From transforming online insurance services to combating the opioid epidemic, SAS customers are using data and AI to drive innovation, enhance efficiency and make a positive impact on society. These stories – and more – offer a glimpse into how our customers are shaping the future with SAS. Dive into
SAS provides procedures to fit common probability distributions to sample data. You can use PROC UNIVARIATE in Base SAS or PROC SEVERITY in SAS/ETS software to estimate the distribution parameters for approximately 20 common distributions, including normal, lognormal, beta, gamma, and Weibull. Since there are infinitely many distributions, you may
Let’s face it, supply chains today can feel like one headline away from chaos. Whether it’s new tariffs, labor strikes, warehouse fires or unpredictable weather patterns, retail and consumer goods companies are constantly juggling curveballs. Each disruption comes with a price: tighter margins, out-of-stock products, unhappy customers and many operational
Many common probability distributions contain terms that increase or decrease quickly, such as the exponential function and factorials. The numerical evaluation of these quantities can result in numerical overflow (or underflow). This is why we often work on the logarithmic scale: on the log-scale, the numerical computations for equations such
Learn how to modernize legacy SAS workflows by integrating Python and automating processes using GitHub Actions and SAS Viya Workbench, enabling seamless collaboration and CI/CD across development environments.
Synthetic data – algorithmically generated data that mimics real-world data – has emerged as a cornerstone in modern AI workflows. But its promise comes with persistent myths about its capabilities, limitations and reliability. Synthetic data is being explored across industries, from training machine learning models to helping businesses safeguard customer
The future is already here and somehow, it keeps accelerating. Small to midsize businesses (SMBs), in particular, are feeling all the effects of this in real time. From shifting customer demands to tightening budgets and fiercer competition, SMBs are navigating more change than ever. Technology can be a powerful growth
Every AI success story starts with a single decision: to move beyond experimentation and commit to real-world impact. But moving from idea to enterprise-scale deployment isn’t just about algorithms – it’s about laying the right groundwork. In the first part of this series, we explored three ways to lay the
Suppose you measure data weekly. According to the ISO standard, weeks are measured in the range 1-53, where most years have 52 weeks, but occasionally there is a "leap week." (The WEEK function in SAS implements the ISO standard to find the week-of-the-year for any date.) The heat map to
A practical guide to SAS Procedures in Viya 4, introducing their purpose, showcasing real-world examples, and highlighting a new downloadable cheat sheet that simplifies navigation across SAS’s advanced analytics portfolio.
Shrinking budgets, rising citizen expectations and increasingly sophisticated fraud schemes have stretched resources thin. Meanwhile, outdated systems and manual processes make it harder for frontline workers to keep pace. According to a global study commissioned by SAS, a striking 85% of policymakers and public sector leaders cite the fight against
Get inspired by a SAS Hackathon team that used AI and IoT to tackle heat stroke.
Choosing whole foods is the simplest way to eat high-quality ingredients like dietary fats. But let’s be real, packaged and convenience foods are part of most modern lifestyles. When you grab an ultra-processed snack or pre-made meal, front-of-package claims can be misleading. Knowing what to look for on the nutrition facts
AI agents take on more responsibility in our most sensitive systems – from finance to public safety to health care – one thing is clear: trust can’t just be designed in. It has to be sustained. Continuously. In the first two parts of this series, we explored the ethical foundations
Fraud remains a huge challenge for governments and inspectors at all levels, as fraudsters today are more successful than ever. Technologies such as analytics and AI have tremendous potential to support investigations. Why are fraudsters so successful these days? Partly because they seek easy targets, work hard to stay off
Hospitals are being asked to do more with less – deliver rapid connections to health care services, generate better outcomes and have tighter coordination across teams and services. The patient is at the center of it all. Getting people the care they need, where they are and when they need
Dating can be a challenge. No, I'm not talking about the process of finding a soulmate. I'm talking about managing days, weeks, months, and years in statistical analyses and reports! One challenge is how to number the weeks of the year. Because there are seven days in a week, 52
At SAS Innovate in Orlando, some of our partners spoke firsthand about how they’re driving innovation and delivering results with SAS®. In the video above, leaders from across our partner ecosystem offer insights into how collaboration, innovation and analytics are coming together to solve complex challenges and deliver results that
Health care fraud, waste, and abuse (FWA) cost the industry billions each year—but what if we could outsmart it? Enter SAS Payment Integrity for Health Care: Detect and Prevent, a groundbreaking solution that is redefining how we can tackle FWA. As the first to offer models-as-a-service in a Commercial Off-The-Shelf
AI is transforming every industry, from automating insurance claims to optimizing supply chains in manufacturing. But for many organizations, the challenge isn’t whether to adopt AI; it’s how to start. This blog, the first in a two-part series, outlines the initial steps you can take to deliver a strong foundation for
This is the second in a five-part blog post series that delves into modernizing marketing strategies through the integration of advanced marketing platforms. I had the pleasure of interviewing Shaun Memon of Munvo for this series, where we discuss a wide range of topics, from fragmented MarTech stacks, first-party data
I follow several data visualization experts on social media. Sometimes, I see a graph that I struggle to interpret. When that happens, I ask myself whether there is a simpler and more effective way to visualize the data. Recently, I saw an example of using a "horizon plot" to visualize
Authors: Madhuri Kulkarni, Anand Surana, and Sudeshna Guhaneogi Imagine skipping the hours-long wait for your favorite amusement park ride by knowing when peak riding times are? Or how about having an itinerary that accounts for everyone’s favorite park activity? Ready for a wild ride? In this post, we explore how
They say data is the new oil, but it’s only valuable if you can refine it into something useful. In transportation, that means turning raw traffic data, sensor inputs and video feeds into real-time insights that actually improve how we move. That metaphor set the tone for a 2025 IoT
Dietary fats often get a bad rap, but they’re essential for every cell in your body. Gram-for-gram, fats contain a little more than twice the calories of protein and carbohydrates, which is why they’re often targeted when trying to cut calories.
In an uncertain geopolitical world, integrated balance sheet management (IBSM) is crucial for building financial resilience. Fragmented risk systems hinder banks’ ability to navigate volatile markets. Isolated control models are especially problematic when managing liquidity, profitability and capital efficiently. According to a recent FT Longitude survey of executives from 300
We at SAS were proud to see Iain Brown, SAS Head of Data Science for Northern Europe and author of the book Mastering Marketing Data Science: A Comprehensive Guide for Today’s Marketers, recently acknowledged as one of the top 100 AI influencers on X/Twitter. (Number 36, not too shabby!) Iain
