SAS is the leader in
analytics and artificial intelligence, and a powerhouse for organizations
seeking immediate value from data. Commercially active since 1976, we’re
the founder, and future, of analytics.
With over 3,500 financial
services customers worldwide, including 90% of the top 100 global banks, SAS
knows what it takes for firms to maximize their data for decision-making
purposes. Our analytical capabilities span customer intelligence, fraud & security intelligence, and risk management.
SAS is continuously
innovating to improve banks’ risk management capabilities. Our solutions help
firms balance short- and long-term strategies, improve performance, and build a
risk-aware culture throughout the enterprise. We help firms with regulatory
risk management, capital planning, risk governance and credit risk management.
SAS sees strong demand from banks across the world seeking to improve risk modeling.
SAS® for Risk Modeling and Decisioning gives banks the ability to develop and manage
risk models and decision strategies in a repeatable, auditable, transparent
way. The data management and model development, deployment, and monitoring capabilities
of SAS Risk Modeling, combined with the intuitive decision-process design and
rule-set management capabilities of SAS® Intelligent Decisioning, ensures
institutions can easily and quickly adapt to changing market conditions and
consistently make the correct risk-related decisions for the benefit of both the
bank and its customers.
Banks can benefit from efficient decision-making at a lower cost; enhancing productivity and collaboration; faster data preparation; solving complex problems faster; increasing revenues through the monetization of data; and accelerating model development.
SAS for Risk Modeling and Decisioning improves risk-related decision-making while
simultaneously capitalizing on the lower cost, increased flexibility, and
faster data analysis gained by using the SAS solution on the Microsoft Azure
cloud. By combining a solution which supports the full analytics life cycle
with unlimited elastic cloud resources, banks benefit from strengthened risk
management and compliance with regulations. Automating key risk modeling and
decisioning tasks allows firms to build better models faster. Adding this
capability to the Microsoft Azure cloud enables the effective management of
risk bursting in response to unexpected market events, ensuring the bank
remains resilient in the toughest conditions.