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Head-to-head · Insurance Analytics Software

Guidewire Analytics vs WTW Igloo

  • Updated Sep 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Guidewire Analytics #4 in Insurance Analytics Software 9.1/10 Pricing on request ✓ 0 of 1 features Contact Guidewire
WTW Igloo #7 in Insurance Analytics Software 8.8/10 Pricing on request ✓ 1 of 1 features Visit WTW

Guidewire Analytics leads on 0 checks, WTW Igloo on 1, and 0 are 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 scoreGuidewire Analytics · 9.1/10
  • Most featuresWTW Igloo · 1 of 1

Guidewire Analytics scores higher on our rubric for insurance analytics software: 9.1 against 8.8 out of 10; our editors rank them #4 and #7.

WTW Igloo offers catastrophe modeling; Guidewire Analytics doesn't.

Guidewire Analytics is the better fit for guidewire-centered insurance analytics teams. WTW Igloo is the better fit for insurers managing capital, solvency and profitability.

  • Guidewire Analytics fits best

    Guidewire-centered insurance analytics teams

  • WTW Igloo fits best

    Insurers managing capital, solvency and profitability

Advertiser disclosure: iTechGuides is reader-supported. We may earn a commission when you click some links. It never changes our verdict. How we rank.

Side by side

Feature Guidewire Analytics 9.1/10 Visit ↗ WTW Igloo 8.8/10 Visit ↗
At a glance
Editor score 9.1 8.8
Ranking #4 in Insurance Analytics Software #7 in Insurance Analytics Software
Best for Guidewire-centered insurance analytics teams Insurers managing capital, solvency and profitability
Pricing model Paid Paid
Starting price Not published Not published
Free plan Not published Not published
Free trial — —
Deployment Cloud Cloud, Desktop
Platforms Web Web, Windows
Support Docs, Community Email · 24/7
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Guidewire Analytics 0/1 · WTW Igloo 1/1
Catastrophe modeling — ✓ (best)
Specs
Analytics areas Underwriting and risk selection; pricing; claims triage, settlement and performance; policy, billing and claims business intelligence; cyber risk; catastrophe claims response Capital and risk modeling; portfolio profitability and risk; reinsurance and exposure limits; Solvency II calculations; capital projections; regulatory reporting
Modeling methods Neural networks (including deep neural networks), decision trees, GLM/GAM, text mining; import of models built in R and Python Solvency II standard formula; configurable internal and partial internal capital models; scenario and sensitivity analysis
Deployment Cloud Not published
Data connectors Guidewire InsuranceSuite policy, billing, and claims data; internal, external, third-party, and cooperative data; third-party data for catastrophe response Direct connection to corporate data systems
Output formats Not published Solvency Capital Requirement and Minimum Capital Requirement Quantitative Reporting Templates (QRTs); detailed reports
Our review
Pros
  • Supports predictive models across underwriting, pricing, and claims
  • Curates policy, billing, and claims data for analytics and reporting
  • Connects with Guidewire core systems and third-party BI tools
  • Combines portfolio profitability, risk and capital-efficiency analysis.
  • Supports configurable capital models, scenario testing and sensitivity analysis.
  • Includes Solvency II calculations and regulatory QRT reporting templates.
Cons
  • Cloud deployment may not suit teams requiring on-premises software
  • The portfolio spans multiple products rather than one standalone application
  • Its strongest fit is for insurers centered on Guidewire systems
  • Focuses on insurance capital and risk analytics rather than general-purpose analytics.
  • Pricing requires contacting sales.
  • Desktop development environment may not suit teams seeking a cloud-only setup.
Our verdict

Guidewire Analytics is a portfolio of analytics products for property and casualty insurers and reinsurers. It is aimed at insurance teams making underwriting, pricing, claims, and business performance decisions, particularly organizations…

Read the review →

WTW Igloo is a capital and risk analytics platform for property and casualty insurers. It is aimed at teams assessing portfolio profitability, risk and capital efficiency, planning capital needs, and handling reinsurance, exposure limits…

Read the review →
  1. Guidewire AnalyticsInsurance Analytics Software 9.1Pricing on request
  2. WTW IglooInsurance Analytics Software 8.8Pricing on request

Strengths and trade-offs

  • Guidewire Analytics — where it wins

    • Supports predictive models across underwriting, pricing, and claims
    • Curates policy, billing, and claims data for analytics and reporting
    • Connects with Guidewire core systems and third-party BI tools

    Where it doesn't

    • Cloud deployment may not suit teams requiring on-premises software
    • The portfolio spans multiple products rather than one standalone application
    • Its strongest fit is for insurers centered on Guidewire systems

  • WTW Igloo — where it wins

    • Combines portfolio profitability, risk and capital-efficiency analysis.
    • Supports configurable capital models, scenario testing and sensitivity analysis.
    • Includes Solvency II calculations and regulatory QRT reporting templates.

    Where it doesn't

    • Focuses on insurance capital and risk analytics rather than general-purpose analytics.
    • Pricing requires contacting sales.
    • Desktop development environment may not suit teams seeking a cloud-only setup.
  • Guidewire Analytics9.1/10 · Pricing on request

    A broad analytics portfolio built around Guidewire workflows for insurers.

    Contact GuidewireFull verdict →
  • WTW Igloo8.8/10 · Pricing on request

    Capital, profitability and Solvency II analysis with cloud and desktop deployment.

    Visit WTWFull 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