SAS Insurance Capital Management

Streamline insurance regulatory compliance and reap the ongoing rewards.

Meet evolving insurance capital requirements and regulatory compliance demands, and gain a greater understanding of your company's risk and financial condition.

Ease the angst of insurance regulatory compliance.

Perform complex calculations to anticipate risks, then initiate control measures to maintain solvency ratios that satisfy regulatory requirements. A single solution lets you calculate standard model insurance risk capital requirements, as well as create regulatory and management reports for different regimes – such as Solvency II, ICS 2.0. And the solution's flexible framework grows along with you to meet evolving risk analysis needs.

Better understand your overall risk.

Formulate better risk decision strategies by understanding how economic factors will affect your balance sheet. Ensure solvency by stress testing assets and liabilities for sudden and dramatic changes in market conditions. The solution's risk analytics framework supports the definition of the internal model for risk analysis and can be extended to support other regulatory regimes beyond Solvency II and ICS 2.0.

Create a cohesive risk data warehouse.

Access and consolidate historical data from almost any source – internal and external. An integrated risk data warehouse stores data related to asset and liability exposures, claims, reinsurance arrangements, economic and actuarial risk factor assumptions, and product configurations. Built-in data quality tools reduce or eliminate errors and inconsistencies. And a self-documenting auditing feature ensures transparency and traceability by tracking changes to data and risk models.

Quickly create reports for management and regulators.

Customizable dashboards and the solution's data point model help streamline and automate Solvency II reporting processes. An extendible validation rules engine includes more than 600 predefined intra- and inter-report validation checks based on the latest EIOPA specifications. Predefined templates and web-based ad hoc reporting capabilities empower users at any level to disseminate risk information to regulators and senior management

Key Features

A comprehensive risk analytics framework for better risk decision making through higher-quality data, advanced analytics, faster internal and regulatory reporting, and transparency and auditability.

Risk analysis framework

Provides a flexible and extendible software framework that meets evolving risk analysis needs.

Market-leading reporting platform

Includes predefined capital requirements reports and an extendible data infrastructure that supports ad hoc and nonregulatory reporting requirements.

Integrated data management

Improves data quality and meets Solvency II and ICS 2.0 guidelines by reducing data inconsistencies. Includes prebuilt capabilities for loading data from the data model to the risk software.

Insurance-specific data model

Serves as a single source of information to address Solvency II and ICS 2.0 data requirements, and accelerates regulatory compliance.

End-to-end functionality

Includes an integrated insurance data model, data management capabilities, advanced analytics and reporting technologies for a comprehensive approach to a risk culture.

Scalability

Provides a distributed, in-memory environment that effortlessly scales to support new demands as data volumes, user bases and analytic complexity increase.

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Analyst Report

Chartis Actuarial Modeling & Financial Planning Systems, 2022

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