How SAS® Supports Insurance Risk Management
A single, integrated framework for both regulatory compliance and business requirements.
While IFRS/US GAAP and Solvency II differ in the details – e.g., contract identification, level of and approach to calculations, reported measures, responsibilities – they share similar requirements for data, structures, process auditability and traceability, and supporting systems. Our single, integrated framework addresses both regulatory compliance (i.e., IFRS 17/LDTI and Solvency II) and business requirements (e.g., real-time pricing, portfolio optimization). And it's built on a platform that has the flexibility to support late-breaking process changes, without disrupting what you're developing or already have in place.
Risk analysis framework
- Perform bottom-up risk analysis by product line and risk type.
- Meet the demands for more robust stress testing and scenario planning.
- A single platform enables life and P&C insurance companies to analyze a variety of risks.
- The underlying platform provides an end-to-end approach – from data sources to reporting – and can serve as the core foundation for an integrated analytical framework.
- The system is fully customizable, supporting the co-existence of multiple regulatory regimes and extension to third-party contributions.
- Flows of execution, calculations and dependencies are clearly visible.
- Documentation is generated automatically from the code and is always up-to-date.
- A scalable architecture – featuring parallel task execution, in-memory processing and grid optimization – results in extremely fast calculations.
Why choose SAS® for insurance risk management?
SAS provides a comprehensive framework for meeting governance and auditability requirements for IFRS 17/LDTI, Solvency II or similar regulatory regimes, as well as for aligning to strategies and goals across finance, risk, actuarial and regulatory compliance functions.
Working Smarter With Insurance Risk Management From SAS
Getting a more accurate view of risk and pricing with better data quality
SAS helped IAG New Zealand Ltd. improve the quality and integrity of its address data, enabling the company to geocode 90% of addresses, compared to 70% before SAS. The company has also improved its risk profile and increased the accuracy in its pricing model.
Improving data quality to strengthen decision making around underwriting, reinsurance and risk selection
SAS helped Ecclesiastical establish a foundation for compliance with Solvency II's data management mandate, reduce costs related to claims leakage and reinsurance purchase, as well as improve customer service and decision making.
Recommended Solutions for Insurance Risk Management
- SAS® Risk StratumAdopt a risk foundation that delivers three tiers of capabilities to match your needs, with each level building on the previous one to form a complete risk management foundation.
- SAS® Solution for IFRS 17Simplify your transition to the IFRS accounting standard with best-in-class models, workflow and reporting.
- SAS® Solution for LDTIManage, audit and trace all steps of LDTI compliance processes within a single, integrated environment.
- SAS® Solution for Solvency IIMeet evolving Solvency II compliance demands and gain a greater understanding of your company's risk and financial condition.
- Enabling Dynamic Pricing With SASActuarial Transformation Through Competitive Tariffs. Optimized Portfolios. Pricing in Real Time.
- SAS for Insurance Contract Valuation | Powered by AzureStay in front of IFRS 17/LDTI compliance requirements without losing visibility.
Solutions That Extend Enterprise Stress Testing Capabilities
- SAS® Governance and Compliance ManagerBuild trust in risk and compliance programs by connecting the enterprise.
Explore More on Insurance Risk Management & Beyond
- Article 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.
- Article Shut the front door on insurance application fraud!Fraudsters love the ease of plying their trade over digital channels. Smart insurance companies are using data from those channels (device fingerprint, IP address, geolocation, etc.) coupled with analytics and machine learning to detect insurance application fraud perpetrated by agents, customers and fraud rings.
- White Paper How to compete in the new era of customer-centric insuranceAdopt an agile pricing strategy that recognises changing behaviour and risk profiles. This Paper explains how to reduce the time needed to build hand-coded models and accommodate a range of programming languages to quickly respone to market changes.