SAS expert Leonid Batkhan presents the %embed macro function as a way to embed both “foreign” and SAS native code from a file into a SAS program, preventing clutter in your code.
Did you know that over 300 people die daily from drug overdoses in the US? As a pharmacist, I have witnessed the harrowing effects of substance use disorder (SUD) and the resulting opioid crisis on individuals, families and communities. The complexity of addiction Who among us does not know someone
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to load multiple CSV files into memory as a single table using the loadTable action. Load and prepare data on the CAS server To start, we need to create multiple
Real-world data often exhibits extreme skewness. It is not unusual to have data span many orders of magnitude. Classic examples are the distributions of incomes (impoverished and billionaires) and population sizes (small countries and populous nations). The readership of books and blog posts show a similar distribution, which is sometimes
This year, SAS Innovate in Orlando brought executives and other industry luminaries together to inspire attendees to use analytics to outpace tomorrow. Data and analytics enables you to get to the true value of a human being. Michael Lewis, Author of Moneyball Chief Marketing Officer Jenn Chase, who hosted the event,
As AI rapidly advances over the next several years, I’ve been fortunate to have an active role in helping to guide a responsible path forward when it comes to technology’s impact on our daily lives. Currently, this role includes serving as Vice President for the SAS Data Ethics Practice, as an
The popularity of “greens powders” has exploded over the past few years with companies touting all kinds of health benefits and as an easy way to get your veggie servings in. But is this true? Are there benefits to taking these powders, and are they just like eating vegetables?
Labeling objects in graphs can be difficult. SAS has a long history of providing support for labeling markers in scatter plots and for labeling regions on a map. This article discusses how the SGPLOT procedure decides where to put a label for a polygon. It discusses the advantages and disadvantages
Humanity collectively creates 2.5 quintillion bytes of data daily, presenting incredible opportunities for organizations—especially those who collect it in the cloud. Cloud-based data offers excellent insights for organizations, including a meaningful look at customer needs and operational improvements. However, these benefits come with risks, especially regarding security. According to IBM
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This year six teams from Benelux joined the global competition. These teams took on exciting challenges: from unlocking privacy-sensitive healthcare data with synthetic data to optimizing cheese production and much more! With access to the latest SAS software and SAS mentors, they were building innovative solutions to real-world problems. Two
The shift to cloud computing has dramatically transformed how organizations and businesses store, manage and analyze their data. The benefits of this shift are well-known: Moving to the cloud increases the potential to gain more value their data through faster access, greater scalability and cost-efficiency. All plain sailing, right? Not
When you think about life-saving technology, does a statistical computing environment come to mind? Statistical computing environments (SCE) are critical in accelerating scientific discoveries by enabling researchers to manage, process and analyze data efficiently and compliantly, maintaining the utmost regulatory integrity. As life sciences research generates increasingly large and diverse
SAS supports many ways to compute the rank of a numeric variable and to handle tied values. However, sometimes I need to rank the values in a character categorical variable. For example, the values {"Male", "Female", "Male"} have ranks {2, 1, 2} because, in alphabetical order, "Female" is the first-ranked
"For those not knee-deep in the ModelOps process, the process may seem simple," says Ankit Sinha, Director of Product Management at Experian: "You build the model, deploy the model and reap the benefits." But the process starts to become very complex when you're using multiple database systems and data sources
SAS inventors came together on April 24 at The Umstead Hotel to celebrate something completely unique: ideas. Ideas that became patents. 54 of them, to be exact. During his remarks, CTO Bryan Harris dialed in on just how important new ideas are in our current environment. “When you think about
The pandemic caused public health agencies and life sciences companies to scramble to find effective treatments. Exploring the efficacy of existing drugs to treat COVID, an example of what's known as drug repurposing, was an intense focus for Qais Hatim, a Data Scientist at the US Food and Drug Administration
A previous article defines the silhouette statistic (Rousseeuw, 1987) and shows how to use it to identify observations in a cluster analysis that are potentially misclassified. The article provides many graphs, including the silhouette plot, which is a bar chart or histogram that displays the distribution of the silhouette statistic
"Demand planning is a team sport," says Davis Wu, Global Lead of Demand Planning and Analytics at Nestlé S.A. The team at Nestlé includes demand planners, demand analysts and data scientists, who all work together to ensure that Nestlé products remain in stock. Many demand analysts can be seen as
Empirical Mode Decomposition (EMD) is a powerful time-frequency analysis technique that allows for the decomposition of a non-stationary and non-linear signal into a series of intrinsic mode functions (IMFs). The method was first introduced by Huang et al. in 1998 and has since been widely used in various fields, such as signal processing, image analysis, and biomedical engineering.
A new report from the Intergovernmental Panel on Climate Change (IPCC) highlights the pressing need for prompt and resolute action across industries to tackle climate change. The report emphasizes the importance of prioritizing equity, social justice, inclusion and just transition processes to enable ambitious climate mitigation actions and climate-resilient development.
The reverberations of SVB’s collapse continue to be felt in the banking industry. Markets remain jittery and the negative news headlines keep coming. First Republic Bank had its credit rating downgraded into junk territory by S&P Global, causing its share price to plummet by 47 percent before rallying. On the
A customer's initial onboarding journey is often the most interaction they will ever have with a company. This series of touchpoints provide the applicant with their first insight into what being a customer will be like. Unfortunately, disjointed and unconnected processes often create gaps for customers to fall through or
Mental Health Month is an important time to honor and raise awareness around mental illness and mental wellness. Correcting and combating stigma and discrimination, including with data, is one of the month’s major goals. It’s hard to talk about mental health without also addressing substance use disorders (including opioids), homelessness
Assigning observations into clusters can be challenging. One challenge is deciding how many clusters are in the data. Another is identifying which observations are potentially misclassified because they are on the boundary between two different clusters. Ralph Abbey's 2019 paper ("How to Evaluate Different Clustering Results") is a good way
For nearly five years, Anupam Trivedi, Senior Director of Credit Control Services at HSBC, has been on a journey to modernize the bank's decision ecosystem for retail credit lending. Supporting lending decisions for the largest bank in Europe is no simple feat. Overall, the HSBC system processes lending decisions for
The term "partner" is often overused in the technology industry. We partner with cloud providers, we partner with systems integrators, we partner with our customers – and so much more. But when a genuine partnership comes together to build something complex and successful, you can't deny the importance of that
SAS' Ji Shen introduces you to an effective solution for modeling and forecasting count time series.
As businesses continue to evolve and adapt to the changing landscape of the global economy, decision-making has become increasingly complex. To stay competitive and meet the growing demands of customers, businesses must adopt new technologies and strategies to streamline their operations and enhance the customer experience. This is where AI
As a dietitian/nutritionist the majority of my focus is on how food impacts our bodies and our health. But it is so important to also recognize the global impact of our food choices. We need to not just include our health in the decision, but also the biodiversity of the
