Quick Overview
- 1#1: SAS - Provides comprehensive AI-powered analytics for insurance risk modeling, claims processing, fraud detection, and personalized pricing.
- 2#2: Verisk - Delivers industry-leading data and predictive analytics solutions for property, casualty, and specialty insurance risk assessment.
- 3#3: Guidewire - Offers integrated analytics and AI capabilities within its cloud-native insurance platform for underwriting and claims optimization.
- 4#4: Earnix - Enables real-time pricing optimization and product personalization for insurers using AI-driven decision intelligence.
- 5#5: Akur8 - Automates insurance pricing model development and deployment with transparent machine learning technology.
- 6#6: FRISS - Leverages AI for fraud detection, risk assessment, and accelerating legitimate claims in property and casualty insurance.
- 7#7: Shift Technology - AI platform that automates claims management, detects fraud, and optimizes investigations for global insurers.
- 8#8: Duck Creek - Cloud-based insurance suite with embedded analytics for policy administration, billing, and customer insights.
- 9#9: Sapiens - Digital insurance platform featuring advanced analytics for lifecycle management and data-driven decisions.
- 10#10: Tableau - Interactive visualization tool for exploring and sharing insurance data insights across teams.
tools were chosen based on their technical sophistication, usability, scalability, and real-world impact, ensuring they align with the evolving demands of insurers seeking efficiency, accuracy, and competitive advantage
Comparison Table
Insurance data analytics software empowers insurers to turn data into actionable insights, driving smarter risk management and operational efficiency. This comparison table features leading tools—including SAS, Verisk, Guidewire, Earnix, Akur8, and more—exploring their core capabilities, use cases, and unique strengths to help readers evaluate options for their specific needs, from underwriting to customer experience optimization.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | SAS Provides comprehensive AI-powered analytics for insurance risk modeling, claims processing, fraud detection, and personalized pricing. | enterprise | 9.6/10 | 9.8/10 | 7.9/10 | 8.7/10 |
| 2 | Verisk Delivers industry-leading data and predictive analytics solutions for property, casualty, and specialty insurance risk assessment. | specialized | 9.2/10 | 9.7/10 | 8.1/10 | 8.8/10 |
| 3 | Guidewire Offers integrated analytics and AI capabilities within its cloud-native insurance platform for underwriting and claims optimization. | enterprise | 8.7/10 | 9.2/10 | 7.4/10 | 8.1/10 |
| 4 | Earnix Enables real-time pricing optimization and product personalization for insurers using AI-driven decision intelligence. | specialized | 8.7/10 | 9.3/10 | 7.6/10 | 8.1/10 |
| 5 | Akur8 Automates insurance pricing model development and deployment with transparent machine learning technology. | specialized | 8.7/10 | 9.2/10 | 8.4/10 | 8.1/10 |
| 6 | FRISS Leverages AI for fraud detection, risk assessment, and accelerating legitimate claims in property and casualty insurance. | specialized | 8.7/10 | 9.2/10 | 8.0/10 | 8.5/10 |
| 7 | Shift Technology AI platform that automates claims management, detects fraud, and optimizes investigations for global insurers. | specialized | 8.4/10 | 9.2/10 | 7.6/10 | 8.1/10 |
| 8 | Duck Creek Cloud-based insurance suite with embedded analytics for policy administration, billing, and customer insights. | enterprise | 8.2/10 | 8.7/10 | 7.4/10 | 7.8/10 |
| 9 | Sapiens Digital insurance platform featuring advanced analytics for lifecycle management and data-driven decisions. | enterprise | 8.1/10 | 8.6/10 | 7.4/10 | 7.9/10 |
| 10 | Tableau Interactive visualization tool for exploring and sharing insurance data insights across teams. | enterprise | 8.7/10 | 9.2/10 | 9.5/10 | 7.8/10 |
Provides comprehensive AI-powered analytics for insurance risk modeling, claims processing, fraud detection, and personalized pricing.
Delivers industry-leading data and predictive analytics solutions for property, casualty, and specialty insurance risk assessment.
Offers integrated analytics and AI capabilities within its cloud-native insurance platform for underwriting and claims optimization.
Enables real-time pricing optimization and product personalization for insurers using AI-driven decision intelligence.
Automates insurance pricing model development and deployment with transparent machine learning technology.
Leverages AI for fraud detection, risk assessment, and accelerating legitimate claims in property and casualty insurance.
AI platform that automates claims management, detects fraud, and optimizes investigations for global insurers.
Cloud-based insurance suite with embedded analytics for policy administration, billing, and customer insights.
Digital insurance platform featuring advanced analytics for lifecycle management and data-driven decisions.
Interactive visualization tool for exploring and sharing insurance data insights across teams.
SAS
enterpriseProvides comprehensive AI-powered analytics for insurance risk modeling, claims processing, fraud detection, and personalized pricing.
SAS Risk Management for Insurance, providing integrated catastrophe modeling, economic scenario generators, and stochastic simulations unmatched in precision for actuarial workflows.
SAS is a leading enterprise analytics platform from sas.com, offering specialized solutions for insurance data analytics including predictive modeling, risk assessment, fraud detection, and claims optimization. It leverages advanced AI, machine learning, and statistical tools within SAS Viya to process massive datasets, enabling real-time insights and automated decision-making. Insurers use it for underwriting, pricing, catastrophe modeling, and regulatory compliance, with proven scalability across global operations.
Pros
- Unmatched depth in insurance-specific analytics like actuarial modeling and fraud detection
- Scalable big data processing with real-time capabilities via SAS Viya
- Proven reliability with decades of use by top insurers worldwide
Cons
- Steep learning curve requiring SAS programming expertise for full utilization
- High enterprise-level pricing not suited for small firms
- Complex deployment needing dedicated IT resources
Best For
Large insurance companies and enterprises requiring enterprise-grade, scalable analytics for complex risk management and operational efficiency.
Pricing
Custom enterprise licensing; typically starts at $50,000+ annually based on users, deployment scale, and modules—contact sales for quotes.
Verisk
specializedDelivers industry-leading data and predictive analytics solutions for property, casualty, and specialty insurance risk assessment.
Industry-leading catastrophe risk modeling via AIR Worldwide integration
Verisk Analytics (verisk.com) is a leading provider of data analytics and risk management solutions specifically designed for the insurance industry. It offers tools for underwriting, claims analytics, catastrophe modeling, fraud detection, and predictive modeling using vast proprietary datasets, AI, and machine learning. Verisk enables insurers to assess risks accurately, streamline operations, and make data-driven decisions throughout the policy lifecycle.
Pros
- Extensive proprietary datasets and industry-specific models
- Advanced AI/ML for predictive analytics and risk assessment
- Proven scalability for enterprise-level insurance operations
Cons
- High implementation costs and complexity
- Steep learning curve for non-expert users
- Custom pricing can be opaque and expensive for smaller firms
Best For
Large insurance carriers and reinsurers requiring comprehensive, data-intensive analytics for risk modeling and operational efficiency.
Pricing
Custom enterprise licensing starting at $100,000+ annually, based on modules, data volume, and user scale.
Guidewire
enterpriseOffers integrated analytics and AI capabilities within its cloud-native insurance platform for underwriting and claims optimization.
Guidewire Predict, enabling no-code machine learning models directly on insurance data for rapid predictive insights
Guidewire offers a robust analytics platform integrated within its InsuranceSuite, enabling property and casualty insurers to harness data from policy, claims, and billing systems for advanced analytics and reporting. It provides tools like Guidewire Predict for machine learning models, data warehousing, and BI dashboards to drive insights on risk, fraud detection, and operational efficiency. This solution excels in unifying siloed insurance data into actionable intelligence for strategic decision-making.
Pros
- Seamless integration with core insurance systems like PolicyCenter and ClaimCenter
- Advanced AI/ML capabilities via Guidewire Predict for predictive analytics
- Strong data governance and compliance tailored to insurance regulations
Cons
- High implementation costs and lengthy deployment timelines
- Steep learning curve requiring specialized expertise
- Primarily optimized for P&C insurance, less flexible for other lines
Best For
Large property and casualty insurers needing deeply integrated analytics with their core operational systems.
Pricing
Custom enterprise licensing, typically starting at $500K+ annually, scaled by modules, users, and deployment size.
Earnix
specializedEnables real-time pricing optimization and product personalization for insurers using AI-driven decision intelligence.
Price Optimizer with real-time AI simulations for hyper-personalized pricing decisions
Earnix is an AI-powered SaaS platform specializing in insurance pricing, rating, and personalization for property & casualty (P&C) insurers. It uses advanced machine learning to analyze customer data, simulate pricing scenarios, and optimize rates for profitability and competitiveness. The solution enables real-time dynamic pricing and personalized product recommendations across digital channels.
Pros
- Sophisticated AI/ML for pricing optimization and risk segmentation
- Robust simulation engine for testing pricing strategies without risk
- Strong integration with legacy insurance systems and real-time deployment
Cons
- Complex setup and steep learning curve for smaller teams
- Limited transparency in black-box AI models
- High cost primarily accessible to large enterprises
Best For
Mid-to-large P&C insurance carriers seeking advanced AI-driven pricing analytics and personalization at scale.
Pricing
Custom enterprise pricing based on usage and deployment scale; typically starts at $100K+ annually—contact sales for quotes.
Akur8
specializedAutomates insurance pricing model development and deployment with transparent machine learning technology.
Pricing Factory: AutoML engine that generates deployable, transparent pricing models in hours
Akur8 is a specialized SaaS platform for insurance pricing analytics, using machine learning to automate the creation, validation, and deployment of transparent pricing models. It enables insurers to build production-ready models up to 10x faster than traditional actuarial methods, while ensuring interpretability and regulatory compliance. The platform integrates with existing data stacks and supports collaborative workflows between pricing teams and data scientists.
Pros
- Accelerates pricing model development from months to days
- Delivers highly accurate, interpretable ML models compliant with regulations
- Seamless integration with BI tools and collaborative team features
Cons
- Primarily focused on pricing, lacking broader insurance analytics capabilities
- Enterprise pricing model lacks transparency and can be costly
- Requires high-quality input data for optimal performance
Best For
Mid-to-large insurance carriers aiming to optimize pricing strategies with AI automation.
Pricing
Custom enterprise pricing; typically starts at $50,000+ annually based on usage and scale, contact sales for quotes.
FRISS
specializedLeverages AI for fraud detection, risk assessment, and accelerating legitimate claims in property and casualty insurance.
Explainable AI fraud scoring that provides instant, auditable risk decisions in seconds
FRISS is an AI-driven insurance analytics platform focused on fraud detection, risk assessment, and claims management. It processes vast amounts of insurance data using machine learning to deliver real-time fraud scores, risk insights, and automated decision-making for underwriting and claims. The solution helps insurers minimize losses, accelerate processes, and ensure compliance through explainable AI analytics tailored specifically to the insurance sector.
Pros
- Advanced AI-powered fraud detection with real-time scoring
- Explainable AI for transparent decision-making
- Strong integrations with insurance core systems like Guidewire and Duck Creek
Cons
- Enterprise-level pricing may be prohibitive for small insurers
- Heavily specialized for insurance, less flexible for other industries
- Requires high-quality data inputs for optimal performance
Best For
Mid-to-large insurance carriers focused on combating fraud and optimizing underwriting through specialized data analytics.
Pricing
Custom enterprise pricing based on volume and deployment; typically starts at $50K+ annually with quotes required.
Shift Technology
specializedAI platform that automates claims management, detects fraud, and optimizes investigations for global insurers.
AI Fraud Suite powered by a global consortium dataset of billions of claims for unparalleled detection accuracy
Shift Technology is an AI-powered platform specializing in insurance fraud detection, claims automation, and data analytics. It uses machine learning to analyze claims data in real-time, identifying suspicious patterns and fraud risks with high accuracy. The solution also offers network analysis, workflow automation, and performance analytics to help insurers reduce losses, streamline operations, and improve decision-making.
Pros
- Highly accurate AI fraud detection with low false positives
- Real-time analytics and seamless integration with insurer systems
- Scalable for high-volume claims processing across global markets
Cons
- Enterprise-focused with complex initial setup and customization
- Pricing opaque and likely high for smaller insurers
- Primarily fraud-centric, less emphasis on general predictive analytics
Best For
Mid-to-large insurance carriers seeking advanced fraud prevention and claims optimization.
Pricing
Custom enterprise pricing via subscription, often based on claims volume; contact sales for quotes.
Duck Creek
enterpriseCloud-based insurance suite with embedded analytics for policy administration, billing, and customer insights.
AI-powered predictive modeling embedded directly into core insurance workflows for proactive risk assessment and decision automation
Duck Creek is a leading provider of cloud-based insurance software with a dedicated analytics module that delivers advanced reporting, dashboards, and predictive insights for property & casualty insurers. It integrates seamlessly with Duck Creek's core systems for policy administration, claims, and billing, enabling real-time data analysis to optimize underwriting, risk management, and customer engagement. The platform leverages AI and machine learning for forecasting trends and automating decisions, making it a powerful tool for data-driven insurance operations.
Pros
- Deep integration with Duck Creek's insurance suite for holistic insights
- Advanced AI/ML-driven predictive analytics and customizable dashboards
- Scalable cloud deployment with real-time data processing
Cons
- Steep learning curve for non-Duck Creek users
- High enterprise pricing with quote-based model
- Primarily optimized for P&C insurance, less flexible for other lines
Best For
Property & casualty insurers using or planning to adopt Duck Creek's full platform who need embedded analytics for operational efficiency.
Pricing
Quote-based enterprise licensing, typically starting at $100,000+ annually based on users, modules, and deployment scale.
Sapiens
enterpriseDigital insurance platform featuring advanced analytics for lifecycle management and data-driven decisions.
AI-powered predictive analytics tightly integrated with insurance core processes for real-time decision-making
Sapiens provides a robust suite of insurance software solutions, with its data analytics offerings like Sapiens Insight and Data Suite enabling insurers to analyze vast datasets from policy administration, claims, and customer interactions. The platform leverages AI, machine learning, and big data tools for predictive modeling, risk management, underwriting optimization, and personalized customer experiences. It integrates seamlessly with Sapiens' core insurance platforms, helping carriers derive actionable insights while ensuring regulatory compliance.
Pros
- Deep insurance-specific analytics for underwriting, claims, and risk modeling
- Strong AI/ML capabilities integrated with core systems
- Excellent data governance and compliance tools for regulated industries
Cons
- Complex implementation requiring significant customization
- Steep learning curve for non-technical users
- Higher costs better suited for enterprises than SMBs
Best For
Mid-to-large insurance carriers seeking integrated analytics deeply embedded in their policy and claims administration systems.
Pricing
Custom enterprise licensing with annual subscriptions starting at $500,000+, depending on modules, users, and deployment scale.
Tableau
enterpriseInteractive visualization tool for exploring and sharing insurance data insights across teams.
VizQL engine for lightning-fast, interactive rendering of complex insurance datasets directly in the browser
Tableau is a powerful data visualization and business intelligence platform that connects to diverse data sources to create interactive dashboards and reports. In insurance data analytics, it shines by enabling users to visualize claims trends, policy performance, risk distributions, and customer segmentation through drag-and-drop interfaces. It supports geospatial analysis for underwriting risks and real-time data exploration, making complex insurance datasets accessible to non-technical users.
Pros
- Exceptional interactive visualizations and dashboards for insurance metrics like loss ratios and premiums
- Broad data connectivity including SQL databases, cloud sources, and insurance-specific APIs
- Strong community resources and templates tailored for actuarial and claims analysis
Cons
- High licensing costs that may strain smaller insurers
- Limited built-in advanced statistical or predictive modeling compared to specialized tools
- Potential performance lags with unoptimized massive datasets from high-volume claims
Best For
Insurance analysts and business users seeking intuitive, visually compelling tools for exploring and presenting claims, risk, and policyholder data without heavy coding.
Pricing
Viewer at $15/user/month, Explorer at $42/user/month, Creator at $70/user/month (billed annually; additional server fees apply).
Conclusion
The reviewed insurance data analytics software presents a range of cutting-edge options, with SAS emerging as the top choice due to its comprehensive AI-powered capabilities that span risk modeling, claims processing, fraud detection, and personalized pricing. Verisk stands out for its industry-leading data and predictive analytics in property, casualty, and specialty insurance, while Guidewire excels with integrated cloud-native tools tailored for underwriting and claims optimization—each a strong alternative depending on specific operational needs. Together, they demonstrate analytics as a cornerstone of modern insurance success.
To harness the full potential of data-driven insurance, begin with SAS—the top-ranked solution—and explore how it can enhance efficiency, accuracy, and strategic decision-making for your business.
Tools Reviewed
All tools were independently evaluated for this comparison