

As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.

SAS Visual Analytics is our flagship offering for self-service data preparation, visual discovery, interactive reporting, and dashboards--as well as easy-to-use analytics--with governance. SAS Visual Analytics allows non-technical users to create, share and execute BI and Analytics workflows for interactive reporting and free-form exploration. The primary functional components supported by SAS Visual Analytics are: Self-service Data Preparation, Data Exploration and Analytics including Augmented Analytics, Interactive Reporting, Location Analytics, Conversational AI through chatbots on SAS Conversation Designer, Automated Explanation using Natural Language, and Outlier Detection and Data Explain for report consumers. SAS Visual Analytics supports sharing and collaboration of insights to decision makers as they make collective decisions as part of their tasks or process or jobs. The goal is for everybody to take decisive action and stay agile as market conditions change and business needs demand a quick response.

SAS Enterprise Miner is a software provide insights that drive better decision making, it streamline the data mining process to develop models quickly, understand key relationships and find the patterns that matter most.

Generate business value quickly with 360-degree customer data views, segments, reports and models.

Base SAS is a programming language software that provides web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a macro facility that reduces programming time and maintenance headaches.

SAS Enterprise Guide is a point-and-click, menu- and wizard-driven tool that empowers users to analyze data and publish results.

SAS Risk Management is a comprehensive solution designed to help financial institutions and enterprises effectively identify, assess, and manage various types of risks, including credit, market, and operational risks. By leveraging advanced analytics and machine learning, it enables organizations to anticipate potential risks, conduct dynamic stress testing, and ensure regulatory compliance, thereby enhancing decision-making processes and overall risk mitigation strategies. Key Features and Functionality: - Advanced Predictive Analytics: Utilizes sophisticated algorithms and machine learning models to forecast potential risks, allowing for proactive risk management. - Comprehensive Risk Assessment: Offers tools to evaluate multiple risk factors across different levels, integrating both internal and external data sources for precise assessments. - Dynamic Stress Testing: Simulates various stress scenarios to test financial systems against extreme market conditions, aiding in strategic planning and preparedness. - Integrated Reporting and Compliance: Automates reporting processes, maintains comprehensive audit trails, and ensures adherence to current regulatory standards. Primary Value and Problem Solved: SAS Risk Management addresses the critical need for organizations to manage financial risks effectively. By providing a unified platform that combines predictive analytics, risk assessment, stress testing, and compliance reporting, it empowers businesses to make informed decisions, reduce potential losses, and maintain regulatory compliance. This holistic approach not only enhances operational efficiency but also strengthens the organization's ability to navigate complex and evolving risk landscapes.

SAS Visual Data Mining and Machine Learning supports the end-to-end data mining and machine-learning process with a comprehensive, visual (and programming) interface that handles all tasks in the analytical life cycle. It suits a variety of users and there is no application switching. From data management to model development and deployment, everyone works in the same, integrated environment.

Easily register, modify, track, score, publish and report on your analytical models using a visual, web-based interface. Store models within folders or projects. Develop and validate candidate models. Assess candidate models for champion model selection. Then publish and monitor champion models to ensure optimal model performance.


SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.