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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

Property conditions and climate exposure change constantly. And pricing models don’t always keep up. Betterview combines property intelligence, risk management, and predictive insights across the policy lifecycle to keep pricing strategies accurate and competitive.

Clear actuarial insight

Flights up to 6x a year, with insights updated every time. Covering 96.5% of the Australian population, in high resolution, so you won’t miss a detail.

Over 130+ property features and conditions automatically detected. See the current state of every property and price risk smarter. Before losses become claims.

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.

Actuarial teams need property attributes that sit directly in a pricing model. Nearmap provides roof condition and slope for each property so teams can test their influence on loss experience and segment risk more precisely. Better segmentation reduces premium leakage.

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%.

“Our underwriters can get every last bit of details about the building they need in one place. This saves us a massive amount of IT resources and underwriting time.”

Carey Dooley, Chief Product Officer, ArdenRead full story

“Nationwide recognised the potential of Nearmap insights around roof imagery and the data stream that flows from their machine learning platform, Betterview. This will enable us to add predictive analytics into our underwriting operations. Going forward, we’ll be able to leverage our underwriting expertise and talent where it is needed most – on higher-value, more complex accounts.”

SVP of Commercial Lines, Nationwide

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

Seamless integration with policy workflows.

Analytics UI

Uncover property risk drivers.

Single Sign-On (SSO)

Simplified user experience and access control.

Core system integration

Access our intel from your core system.

External data warehouse

Complete portfolio analysis.

PDF reports

Easily download property insight reports.

Work with reliably fresh property intelligence

Experience true insurance analytics software with our leading property intelligence.

Get started today

Explore how property intelligence can increase efficiency by predicting and mitigating price risks.

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