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Head-to-head · Insurance Analytics Software

FIS Insurance Risk Suite vs Swiss Re P&C Analytics

  • 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
Swiss Re P&C Analytics #6 in Insurance Analytics Software 8.9/10 Pricing on request ✓ 1 of 1 features Contact Swiss Re

FIS Insurance Risk Suite leads on 0 checks, Swiss Re P&C Analytics 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 8.9 out of 10; our editors rank them #2 and #6.

FIS Insurance Risk Suite is the better fit for insurers needing end-to-end actuarial risk management. Swiss Re P&C Analytics is the better fit for insurers analyzing portfolio and property risk.

  • FIS Insurance Risk Suite fits best

    Insurers needing end-to-end actuarial risk management

  • Swiss Re P&C Analytics fits best

    Insurers analyzing portfolio and property risk

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. How we rank.

Side by side

Feature FIS Insurance Risk Suite 9.3/10 Visit ↗ Swiss Re P&C Analytics 8.9/10 Visit ↗
At a glance
Editor score 9.3 8.9
Ranking #2 in Insurance Analytics Software #6 in Insurance Analytics Software
Best for Insurers needing end-to-end actuarial risk management Insurers analyzing portfolio and property risk
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs Docs
Built for Mid-market, Enterprise Mid-market, Enterprise
Features FIS Insurance Risk Suite 1/1 · Swiss Re P&C Analytics 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 Portfolio analysis and optimisation; property risk and exposure; motor underwriting and pricing; commercial insurance; liability pricing and accumulation risk; market growth strategies
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 Proprietary risk modelling; actuarial expertise; data analytics; forward-looking exposure-based modelling; predictive property risk model
Deployment Hybrid Not published
Data connectors External database platforms; BI tools; regulatory systems; economic scenario and catastrophe data from external providers; policy, quote, claims and exposure data files Client portfolio data; Swiss Re risk data and models; external data sources; catastrophe risk layers; building characteristics
Output formats Financial statements; regulatory submissions; model-result data for downstream systems; API-driven results and custom queries Interactive dashboards; charts; maps; API-accessible model results
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
  • Combines portfolio dashboards, maps and catastrophe risk layers
  • Covers property, motor, commercial and liability risk analysis
  • Provides API access to models and risk data
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
  • Pricing requires contacting Swiss Re
  • The offering spans applications, data, APIs and consulting
  • Designed for mid-market and enterprise insurers
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 →

Swiss Re P&C Analytics brings analytics applications, APIs, data and risk expertise to property and casualty insurers. Its Impact+ platform provides access to applications and insurance-related datasets, while bespoke consulting can…

Read the review →
  1. FIS Insurance Risk SuiteInsurance Analytics Software 9.3Pricing on request
  2. Swiss Re P&C AnalyticsInsurance Analytics Software 8.9Pricing 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
  • Swiss Re P&C Analytics — where it wins

    • Combines portfolio dashboards, maps and catastrophe risk layers
    • Covers property, motor, commercial and liability risk analysis
    • Provides API access to models and risk data

    Where it doesn't

    • Pricing requires contacting Swiss Re
    • The offering spans applications, data, APIs and consulting
    • Designed for mid-market and enterprise insurers
  • 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 →
  • Swiss Re P&C Analytics8.9/10 · Pricing on request

    Portfolio, property and casualty risk analytics with applications, APIs and consulting.

    Contact Swiss ReFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026

Last updated · How we research and update