SAS Dynamic Actuarial Modeling

Reduce silos, automate processes and facilitate cross-departmental collaboration among actuaries, finance and IT.

Take a comprehensive approach to pricing transformation

Insurance technologies and revenues have changed considerably in recent years. To stay ahead of this evolution, insurers must optimize every area of the business. This is particularly true for the pricing process, which directly impacts your profitability, brand reputation, market penetration and growth. SAS Dynamic Actuarial Modeling simplifies and speeds up premium creation and maintenance processes, ensuring that they are well-governed, traceable and easily summarized in comprehensive reports.

Deliver your price to the market as it is intended to be with price execution & governance capabilities

SAS provides sophisticated modeling capabilities, including explainable machine learning models. This makes modeling more accessible for actuaries by giving them a choice of models and providing guidance throughout the pricing process.

Consistently apply GLMs/GAMs to risks using embedded AI capabilities

As data becomes more abundant, our solution enables you to capture most heterogeneity represented by the complexity of your entire portfolio and compute premiums that represent individual risks in a tailor-made way, thus producing more competitive rates.

Improve data quality by minimizing redundancies & inconsistencies across systems

Data duplication and outdated information complicate actuarial and decision-making processes, adding time to tasks such as model implementation and deployment. SAS Dynamic Actuarial Modeling empowers insurers with comprehensive data management capabilities, including automated data exploration, to enhance accuracy and streamline operations.

Key features

SAS provides software and services to enable a guided and governed actuarial process – from data preparation and modeling to automatic deployment and firmwide integrated reporting.

Interactive grouping node

Helps users modify and group continuous variables in a simple, intuitive way.

Rate-making node – sophisticated modeling capabilities

Includes explainable machine learning models. Makes modeling more accessible for actuaries by giving them a choice of models and guidance throughout the pricing process.

Flexible model options

Includes open-source models, models developed in Python or R, or models prebuilt for the firm.

Post-modeling modification of premium modeling parameters

Provides actuaries with a rate-making feature that enables controlled and traceable post-modeling modification of premium modeling parameters while accounting for risk factors.

Optimization capabilities

Lets you simulate renewal pricing scenarios and see the impact in the current portfolio profitability. Speeds decision making with a user-friendly interface for adding constraints and configuring the objective function, along with a visual reporting interface for exploring scenarios and making the data transparent.

Automatic deployment

Enables one-click porting of models to production, both online and in batch mode.

Guided & governed actuarial process

Spans data preparation, modeling, automatic deployment and firmwide integrated reporting.

Self-contained premium modeling process

Speeds deployment and provides full traceability with a single, self-contained tool that spans the entire premium modeling process – including interactive modeling, post-modeling and premium rate implementation.