Develop and manage your risk models and decision strategies in a repeatable, auditable, transparent and secure way.
Our solution combines the data management and model development, deployment and monitoring capabilities of SAS Risk Modeling with the intuitive decision-process design and rule-set management capabilities of SAS Intelligent Decisioning.
WELCOME TO THE EMPOWERED CLOUD
SAS and Microsoft have joined forces to redefine the future of analytics in the cloud and the role played by managed application services.
How SAS on Azure Enables Risk Modeling & Decisioning
With SAS for Risk Modeling and Decisioning on Azure, banks can easily adapt to changing conditions while modernizing risk management across the organization.
Better decision making at a lower cost
- Make the right decision at the right time for the right outcome.
- Achieve a double-digit improvement in straight-through processing.
- Enhance the customer experience.
Support for the full analytics life cycle
- Go seamlessly from data preparation to development, deployment, decisioning and monitoring.
- Use unlimited, elastic cloud resources.
- Drive stronger risk management and meet regulatory compliance demands.
Automation for efficiency & effectiveness
- Automate key tasks to build better models faster.
- Respond to risk bursting events in a timely manner.
- Remain resilient even in the toughest conditions while knowing your data in use is protected by Azure Confidential Computing.
Why choose SAS on Azure for risk modeling & decisioning?
Enhanced productivity & collaboration
Improve operational performance by building models in a single environment.
Faster, more efficient data preparation
Reap rewards more quickly using an interactive tool to prepare data.
Accelerated model development & decision making
Make faster risk-related decisions for the best possible customer outcomes.
A global, systemically important bank makes better decisions for the future of its customers with SAS Analytics for IoT & Azure IoT.
"You definitely want to understand the decision to make, but also to understand there is a future. Putting data together allows you to create new types of decisions, focusing on what the customer wants."
Director of Data Science & Business Development