MWSUG 2025 will feature numerous presentations and e-Posters spread across a variety of academic sections. Below are descriptions of the sections we expect to include in this year's academic program.
AI and Emerging Technology
This new section offers presentations on growing capabilities in machine learning, AI, and emerging analytics methods. This including AI using SAS Viya, Responsible AI, and emerging me4thods such as digital twin applications.
Analysis and Advanced Analytics
Whether for small data sets or so-called big data, analytics is increasingly important to operations in business, finance, health care, academia, government and many other types of organizations. SAS is a longtime pillar in the statistical community, offering a broad array of techniques to meet the growing demand for data analysis. The Statistics and Data Analysis section provides a unique opportunity to see presentations of statistical applications using SAS software to solve today's problems. Statisticians, economists, epidemiologists, forecasters and market researchers present their novel applications of statistical methodology, teach important concepts, and illustrate the benefit of new techniques with the use of SAS/STAT®, SAS/QC®, SAS/IML®, SAS/ETS® and JMP software.
Anything Data
The Anything Data section covers interesting topics and techniques that applies to data, big and small, such as data cleaning and anomaly detection, data analysis and exploration, even data visualization and graphics.
Banking and Finance
This section focuses on SAS solutions and platforms specifically tailored for the banking and financial industry. These solutions address various aspects of banking operations, including risk management, fraud detection, compliance, and overall business performance. SAS enables financial institutions to leverage data and analytics to make informed decisions, improve efficiency, and stay ahead in a dynamic market.
Basics and Beyond
Papers within this section will address a broad spectrum of advanced SAS topics, including ODS, macros, SQL and JMP. Sophisticated, efficient DATA step and PROC step programming is strongly suggested. Topics will include, but are not limited to, the use of these SAS components to address advanced analytical, reporting, data mining, large data set, and data management applications. The objective of these presentations will be to provide a deeper, practical understanding of key SAS features and behaviors that can make the attendee a more efficient, valuable SAS programmer.
Pharma and Life Sciences
The Pharma and Life Sciences section focuses on various aspects of the life science industry. Life science industry covers a broad range of topics ranging from CDISC conformance and implementation of Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM) standards to development of new tools/techniques to improve on efficiency. Other topics may include things such as programming and reporting for enrollment, medical and pharmacy claims data, as well as approaches to government accreditation (URAC, HEDIS) and regulations. Health care reform reporting mandates: MLR, Exchange and detecting fraud in provider/insurer systems are some additional topics that are encapsulated within the Pharma and Life Sciences section.
Posters
e-Posters are focused on presenting graphics, source code, statistics, innovative concepts, unique deployments of data management, and more. e-Posters are available throughout the conference and are ideal for graphically displaying concepts without requiring a formal presentation. The authors of each e-Poster will be available to answer questions at a scheduled time.
Visualization and Reporting
The presentations in this section focus on various visualization techniques and tools to effectively communicate data insights. Content includes different types of plots and graphs, SAS ODS applications, and tables and reporting. They also emphasize the importance of choosing the right visualization method based on the specific data analysis goals.