Price risk with confidence with insurance data analytics
Pricing risk with incomplete property data leads to underpricing, premium leakage and missed signals. Nearmap insurance analytic software provides data analytics and actuarial tools to help insurers segment risk more precisely and protect premium revenue — making fast and accurate risk decisions standard practice.)
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Sharpen your pricing precision
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Clear actuarial insight
Over 130+ property features and conditions automatically detected. See the current state of every property and price risk smarter. Before losses become claims.
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Insurance data analytics for Australian actuaries
Data analysts and scientists, and the insurance analytics software they use, depend on property data that actuarial teams can trust. Nearmap supplies actuarial tools that deliver it at parcel level.
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Reduce risk, increase profitability
Regional pricing models can mask risk. Unlock precise risk evaluations, property by property, for superior pricing and protection. Attracting new business and keeping premiums accurate and fair.
Risk-based pricing and APRA
Australian carriers operate under expectations from the Australian Prudential Regulation Authority (APRA) for risk-based pricing, and property-level evidence gives actuarial teams an auditable basis for showing how each rate reflects the condition of the property. Arden Insurance Services applied this approach and reduced average underwriting time by 9% while improving its loss ratio by 5.5%.
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Portfolio-level risk segmentation
Portfolio Intelligence applies the same attributes across the whole book, showing where high-risk properties concentrate and how exposure builds, which supports risk segmentation at portfolio level.
Sync with your systems
Data API
Analytics UI
Single Sign-On (SSO)
Core system integration
External data warehouse
PDF reports
Work with reliably fresh property intelligence
Experience true insurance analytics software with our leading property intelligence.Applications
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Insights
Get started today
Explore how property intelligence can increase efficiency by predicting and mitigating price risks.
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