Profitability. Efficiency. Regulatory compliance.
No matter how your organization prioritizes risk, SAS has proven methodologies and best practices to help you establish a risk-aware culture, optimize capital and liquidity, and meet regulatory demands. Put on-demand, high-performance risk analytics in the hands of your risk professionals to ensure greater efficiency and transparency. Strike the right balance between short- and long-term strategies. And confidently address changing regulatory requirements.
Will your institution be ready for IFRS 17?
When it comes into effect in January 2021, IFRS 17 will completely upend the insurance industry. Are you ready to face the coming challenges?
SAS Insights, your source for top risk management news, views and best practices.
- Analytics can help prevent substance use disorder and over-prescribingStates and MFCUs now have the analytics tools they need to change the trajectory of the opioid crisis by analyzing data and predicting trouble spots – whether in patients, prescribers, distributors or manufacturers. The OIG Toolkit with free SAS® programming code makes that possible.
- Anti-money laundering and counter-terrorist financingTo monitor for financial crimes, an essential element for both anti-money laundering and counter-terrorist financing is using data analysis to detect unusual activity during processing by monitoring transactions, customers and the network of behaviors.
- What do drones, AI and proactive policing have in common?Law enforcement and public safety agencies must wrangle diverse data sets to be effective in their operations. Intelligence analysts are using that data to apply machine learning and AI for more proactive policing.
What People Are Saying
"SAS Visual Analytics made it possible to create and reshape reports that are easily accessible to any employee – even those without technical skills – thanks to intuitive design elements and user-friendly visuals and explorations."
"We know that the governance, the model build and the model development life cycle is consistent regardless of what the end use of that model is. Data is consistent. It is aligned."
"We want to build a sustainable and scalable solution for managing models at Discover. The new SAS system will help us reduce model risk and increase business value."