

SAS® SOLUTION FOR CECL Quickly comply with CECL standards and accelerate time to benefit.

SAS® ASSET AND LIABILITY MANAGEMENT Effective asset and liability management (ALM) and liquidity risk management. Integrated balance sheet capabilities. In a powerful, cloud-native, modular and transparent solution.

SAS® INTELLIGENCE AND INVESTIGATION MANAGEMENT Enhance law enforcement and public safety with a structured environment for collecting, managing and analyzing intelligence data.

SAS® REGULATORY CONTENT FOR EBA TAXONOMIES Orchestrate calculations, generate reports and perform management overlays.

SAS Data Maker is a secure, enterprise-grade synthetic data generator designed to create statistically representative data without exposing sensitive or regulation-protected information. It enables organizations to generate synthetic data that mirrors real-world data's statistical, relational, and temporal characteristics, facilitating robust AI model development and data analysis while ensuring privacy and compliance. Key Features and Functionality: - Enterprise-Grade Trust and Capabilities: Leveraging decades of expertise in regulated industries such as banking, healthcare, and government, SAS Data Maker provides multitable source data, time series data, and differential privacy to meet enterprise-level synthetic data requirements. - No-Code Interface: The user-friendly graphical user interface (GUI) democratizes synthetic data generation, allowing business users to create and manage data without extensive technical knowledge. - Built-In Data Quality and Evaluation Tools: The solution includes tools to support various generation methods and evaluate the quality of synthetic data using visual metrics, ensuring statistical fidelity to real-world datasets. - Privacy-Enhancing Technologies (PETs): Users can seamlessly integrate synthetic data into existing workflows without significant changes, enabling the safe use of data without compromising privacy. Primary Value and User Solutions: SAS Data Maker addresses challenges related to data scarcity, privacy concerns, and regulatory compliance by providing a reliable method to generate synthetic data. This capability allows organizations to: - Accelerate AI Development: By filling gaps in training data, organizations can develop and deploy AI models more rapidly and effectively. - Enhance Data Privacy: Synthetic data generation mitigates risks associated with handling sensitive information, ensuring compliance with privacy regulations. - Reduce Costs: Organizations can minimize expenses related to data acquisition and processing by generating synthetic data instead of collecting real-world data or purchasing third-party datasets. By integrating SAS Data Maker into their data ecosystems, organizations can innovate responsibly, leveraging synthetic data to drive insights and decision-making without compromising data privacy or security.

SAS® In-Market Revenue Simulation Quantify the global impact of government-mandated and payer price reductions, competitor products and currency shocks to make strategic, in-market pricing decisions

SAS Energy Forecasting offers a broad range of automation, scalability, statistical sophistication and transparency. It enables utilities to operate more efficiently and effectively at all levels of decision making.

SAS® In-Database Technologies Shorten the time needed for data quality and analytical processes by performing them within the database. Our in-database technologies leverage increasing amounts of data by integrating select SAS technology into databases or data warehouses. Run scoring models, some SAS procedures and formatted SQL queries inside the database.

SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.



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®.