Rozwijaj świadomie biznes na bazie kompleksowego zarządzania ryzykiem
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.
- Beyond IFRS 17 – what's next?IFRS 17 is not just a new accounting standard. Its fundamental objective is to provide transparency and insight to the insurance business while identifying strengths and areas for improvement. Learn how to keep a long-term vision and achieve broader business value beyond the immediate demands of IFRS 17.
- IFRS 17: Waiting is not an optionIFRS 17 is a principles-based accounting standard for the future-oriented valuation of insurance contracts. Designed to increase financial transparency, IFRS 17 requires insurers to report in more detail on how insurance and reinsurance contracts affect their finances and risk.
- Scenario stress testing: Beyond regulatory complianceScenario stress testing offers banks a way to simulate responses to a financial crisis using a wide range of conditions and levels of severity.
- The analytical CRO and the risk aware CFOTo create a more risk-aware organization, the most important collaborative relationship for the CRO is with the CFO and the finance team. The CFO and CRO – as the executives responsible for budgeting and supervision – tend to get caught in the middle of competing objectives.
Klienci i analitycy rynki o SAS
"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."