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Head-to-head · Insurance Analytics Software

FIS Insurance Risk Suite vs SAS Insurance

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score FIS Insurance Risk Suite #2 in Insurance Analytics Software 9.3/10 Pricing on request ✓ 1 of 1 features Visit FIS
SAS Insurance #3 in Insurance Analytics Software 9.2/10 Pricing on request ✓ 1 of 1 features Contact SAS

FIS Insurance Risk Suite leads on 0 checks, SAS Insurance on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreFIS Insurance Risk Suite · 9.3/10

FIS Insurance Risk Suite scores higher on our rubric for insurance analytics software: 9.3 against 9.2 out of 10; our editors rank them #2 and #3.

FIS Insurance Risk Suite is the better fit for insurers needing end-to-end actuarial risk management. SAS Insurance is the better fit for insurers needing governed analytics and reporting.

  • FIS Insurance Risk Suite fits best

    Insurers needing end-to-end actuarial risk management

  • SAS Insurance fits best

    Insurers needing governed analytics and reporting

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Side by side

Feature FIS Insurance Risk Suite 9.3/10 Visit ↗ SAS Insurance 9.2/10 Visit ↗
At a glance
Editor score 9.3 9.2
Ranking #2 in Insurance Analytics Software #3 in Insurance Analytics Software
Best for Insurers needing end-to-end actuarial risk management Insurers needing governed analytics and reporting
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Web Web
Support Docs Docs
Built for Mid-market, Enterprise Mid-market, Enterprise
Features FIS Insurance Risk Suite 1/1 · SAS Insurance 1/1
Catastrophe modeling ✓ ✓
Specs
Analytics areas Actuarial modeling; cash-flow and asset-liability management; capital modeling; pricing; reserving; claims analysis; reinsurance; risk and regulatory reporting underwriting; claims; fraud detection; risk and compliance; actuarial modeling; pricing and ratemaking; capital management; regulatory reporting
Modeling methods Deterministic and stochastic scenarios; actuarial models; machine-learning predictive analytics; generalized linear models (GLMs); generalized additive models (GAMs); tree, boosted and bagged methods; unsupervised clustering and anomaly detection actuarial frequency/severity distributions; premium and risk modeling; explainable machine learning; stress testing; sensitivity analysis
Deployment Hybrid Hybrid
Data connectors External database platforms; BI tools; regulatory systems; economic scenario and catastrophe data from external providers; policy, quote, claims and exposure data files internal and external historical data sources; prebuilt data-loading capabilities; Python and R model options
Output formats Financial statements; regulatory submissions; model-result data for downstream systems; API-driven results and custom queries XLS; XBRL; customizable dashboards; web-based ad hoc reports
Our review
Pros
  • Covers pricing, reserving, claims, reinsurance and capital modeling
  • Combines stochastic scenarios with machine-learning analytics
  • Supports data lineage, auditable runs and automated regression testing
  • Covers underwriting, claims, fraud, actuarial, capital and regulatory workflows
  • Supports Solvency II and ICS 2.0 calculations and reporting
  • Offers explainable machine learning, model governance and stress testing
Cons
  • Pricing is available only by contacting FIS
  • Its breadth may exceed the needs of teams seeking a narrow analytics tool
  • Catastrophe analysis relies on data from external providers
  • Portfolio capabilities and deployment choices vary by SAS offering
  • Pricing is provided by request rather than published as standard plans
  • Docs are the stated support channel
Our verdict

FIS Insurance Risk Suite, also known as Prophet, is a modular platform for insurers and reinsurers to develop and run actuarial models, manage risk, and produce regulatory and business reporting. Its scope spans life insurance cash-flow,…

Read the review →

SAS Insurance is a portfolio of analytics and AI solutions for insurers, rather than a single packaged product. Its stated scope spans underwriting, claims, fraud detection, risk and compliance, actuarial modeling, pricing, capital…

Read the review →
  1. FIS Insurance Risk SuiteInsurance Analytics Software 9.3Pricing on request
  2. SAS InsuranceInsurance Analytics Software 9.2Pricing on request

Strengths and trade-offs

  • FIS Insurance Risk Suite — where it wins

    • Covers pricing, reserving, claims, reinsurance and capital modeling
    • Combines stochastic scenarios with machine-learning analytics
    • Supports data lineage, auditable runs and automated regression testing

    Where it doesn't

    • Pricing is available only by contacting FIS
    • Its breadth may exceed the needs of teams seeking a narrow analytics tool
    • Catastrophe analysis relies on data from external providers

  • SAS Insurance — where it wins

    • Covers underwriting, claims, fraud, actuarial, capital and regulatory workflows
    • Supports Solvency II and ICS 2.0 calculations and reporting
    • Offers explainable machine learning, model governance and stress testing

    Where it doesn't

    • Portfolio capabilities and deployment choices vary by SAS offering
    • Pricing is provided by request rather than published as standard plans
    • Docs are the stated support channel
  • FIS Insurance Risk Suite9.3/10 · Pricing on request

    A broad actuarial and risk suite for insurers that need connected modeling and reporting.

    Visit FISFull verdict →
  • SAS Insurance9.2/10 · Pricing on request

    A broad insurance analytics portfolio for insurers managing actuarial, capital and regulatory work.

    Contact SASFull verdict →

More comparisons

All insurance analytics software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update