Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with
In this introduction to powerful knowledge graph tools, SAS' Brandon Reese shows you how they can predict disease similarity and compound similarity using an unsupervised approach.
SAS Grid Manager for Platform, SAS Grid Manager, and SAS Viya Workload Management all manage and balance job loads, right? So, are there three SAS products providing the same functionality? Let’s explore, as I am curious in your answer after you read this article. Each of the three applications has
Queuing up to wait for services is a nearly universal experience. We routinely arrange ourselves in single file lines at the bank, at retail stores, and at the fast-food drive-through. Since the COVID pandemic hit, we've increasingly waited in lines to ensure our health – lining up to be seen
Trader Joe's has grown to become a grocery store staple. However, with the constant rotation of new products, it's tough to weed out what is or isn't healthy. Cooking from scratch is the gold standard, but sometimes we need those quick and easy buys. As you incorporate healthier swaps into
In June 2020, we announced our strategic partnership with Microsoft to help our joint customers address their most critical analytical challenges with SAS® Viya® on Azure. In honor of two years together, we’re highlighting some of our biggest milestones, favorite stories and impressive results. Better Together In June 2020, we announced our
I've previously shown how to use Monte Carlo simulation to estimate probabilities and areas. I illustrated the Monte Carlo method by estimating π ≈ 3.14159... by generating points uniformly at random in a unit square and computing the proportion of those points that were inside the unit circle. The previous
Scoring100% on a test is something that doesn't happen every day. But it is achievable. Stefania Lando – a biostatistics master's degree student at the University of Milan Bicocca – shares her story of how she did it on the SAS Certification exam. Cinzia Gianfiori, Academic Program Manager SAS Italy,
Money Laundering has been around for many years. In fact, the term originated in 1920s Chicago, when Al Capone, the original money launderer, “cleaned” the profits of his crimes by cycling the money through a chain of laundrettes that he owned. Nowadays, money laundering uses increasingly innovative and sophisticated techniques,
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In previous posts, I discussed how to connect to the CAS server, how to execute CAS actions, and how to filter CAS tables. Now it's time to focus on creating calculated columns on a CAS table. Load and explore
SAS is pleased to announce a new ModelOps certification. Recognizing the growing need in this emerging area, this new credential will help create a standard of knowledge within the area of ModelOps.
SAS' Bahar Biller reveals how simulations enable KPI generation, risk quantification, risk management and more.
It isn't easy to draw the graph of a function when you don't know what the graph looks like. To draw the graph by using a computer, you need to know the domain of the function for the graph: the minimum value (xMin) and the maximum value (xMax) for plotting
Robert Handfield, PhD, is a distinguished professor of Supply Chain Management at North Carolina State University and Director of the Supply Chain Resource Cooperative. In an episode of the Health Pulse Podcast, Handfield gave his views regarding the challenges health care and life science companies have encountered over the past two years
"My team serves as a compass and a supporter. We lead a workforce that is definitely already very tech-savvy with regards to the next level of AI maturity."
Getting ahead of an equipment failure can be the difference between millions of dollars saved, and disastrous losses. Predictive maintenance, which uses data and analytics to determine the health of an asset to predict the best time to perform maintenance, is now easier than ever if implemented with a smart,
A colleague was struggling to compute a right-tail probability for a distribution. Recall that the cumulative distribution function (CDF) is defined as a left-tail probability. For a continuous random variable, X, with density function f, the CDF at the value x is F(x) = Pr(X ≤ x) = ∫
High unemployment rates of the post-pandemic era in many recovering regions and increasing inflation rates are signaling an economic recession. With the pressure of increasing energy prices on consumer cash flow and households in many advanced economies facing a cost of living crisis, collections managers know it’s time to transform
Have you seen the Instagram Reel that jokes that replacing your morning coffee with green tea can decrease what little joy you have left in this world by 80% or something along those lines? As a coffee lover and former green tea not-so-enthusiast, that one cracks me up every time.
A SAS programmer wanted to create a panel that contained two of the graphs side-by-side. The graphs were created by using calls to two different SAS procedures. This article shows how to select the graphs and arrange them side-by-side by using the ODS LAYOUT GRIDDED statement. The end of the
AI has, for many years, been the stuff of fantasy. From the monster in Mary Shelley’s Frankenstein to the dystopian futures depicted in films such as Metropolis, the Matrix and Minority Report, the idea of intelligent machines has been capturing the imagination of writers for centuries. Our ability to store
Beginning July 16th, under FCC rules, those in the U.S. can call or text 988 to be connected to trained mental health crisis counselors. The 988 number connects to the already exisiting National Suicide Prevention Lifeline. The goal is to make it as easy as possible for someone who is
European agriculture is under enormous pressure to achieve the level of sustainability envisaged by EU initiatives such as the Green Deal and the Farm to Fork strategy. Meanwhile, the international crisis in Ukraine also reminds us that we need to make our food system more resilient to shocks. Data-driven policy
SQL (Structured Query Language) is the most widely used programming language for relational databases worldwide. No other programming language produces more hits for a web search than SQL and interest is growing rapidly. In June 2010, Google showed 135 million hits versus 586 million hits in June 2020. SQL is
Curious about what it’s like to work at SAS? You’re in the right place. Our people are always asking “What if?” and pushing the boundaries of innovation, and their curiosity is at the core of our company. Today, Vrushali Sawant, a Data Scientist in our Data Ethics Practice, is sharing
SAS SGPLOT already provides the necessary graphical elements for complex visualization. 3D or high-dimensional data can be easily visualized after being projected appropriately. With SAS' strong support for animation features, SAS users can create complicated 3D or high dimension visualizations quickly.
I previously wrote about partial leverage plots for regression diagnostics and why they are useful. You can generate a partial leverage plot in SAS by using the PLOTS=PARTIALPLOT option in PROC REG. One useful property of partial leverage plots is the ability to graphically represent the null hypothesis that a
For life sciences companies, effective commercial execution depends on delivering useful information to healthcare providers. How can your business manage engagement intelligently across all channels? The pace of pharmaceutical development is accelerating faster than ever before. During the pandemic, life sciences leaders proved that the industry can react to emerging
Data is crucial for the development of artificial intelligence (AI) applications. However, the rapid availability of data is a challenge due to increasingly strict privacy regulations. A possible solution is to use synthetic data. Gartner predicts by 2024 that 60% of the data used to develop AI and analytics applications
Wouldn’t it be cool if we establish a mechanism that provides more data scientists easy access to SAS Reinforcement Learning capabilities, from a centralized location and using a standardized approach?
