Portfolio Risk Intelligence & Forecast Analysis

What It Delivers

Establish a reliable view of your insured portfolio

Identify incomplete or inconsistent property records and enrich asset locations with relevant spatial information to create a more reliable foundation for portfolio risk assessment.

Automated geospatial processing helps prepare property data for analysis across individual records and larger portfolios, reducing the need for manual data preparation.

Map of insured locations over a flood zone near Zurich, with an enriched address showing flood zone, elevation and distance to river, above a table of geocoded and enriched portfolio records

Wildfire risk map with insured locations sized by sum insured and a highlighted concentration area, next to an analytics panel showing exposure by risk level, line of business and areas for closer assessment

Identify where portfolio risk is concentrated

Understand how natural hazards intersect your insured assets and how exposure is distributed across properties, regions, and lines of business.

Combine insured locations with relevant hazard maps and risk data to investigate geographic concentrations, compare exposure across your portfolio, and identify areas that warrant closer assessment.

Understand how hazard conditions change over time

Bring historical hazard information, current conditions, and available forecasts into your risk assessment workflows to build a more informed view of changing exposure.

Compare hazard information across relevant time periods to investigate past events, assess current conditions, and support forward-looking analysis. This helps insurance teams incorporate changing hazard conditions into underwriting and portfolio management decisions.

Coastal map of portfolio clusters overlaid with a past observed flood footprint, with a hazard timeline to switch between past events, current conditions and forecast

Graph exporting an enriched CSV and a PDF hazard report on flood exposure, feeding into risk modelling, underwriting, pricing, portfolio analysis and reporting workflows

Connect risk intelligence to insurance workflows

Make enriched location data and hazard information available to the teams and systems that depend on them.

Integrate structured geospatial data and analytical outputs into risk modelling, underwriting, pricing, portfolio analysis, and reporting workflows. Reduce manual data preparation and help teams work with more consistent, analysis-ready information.

Key Outcomes for Insurance Teams

Reliable portfolio data through validated and spatially enriched asset locations

Greater visibility into accumulated exposure across properties, regions, and natural hazards

Forward-looking risk analysis using historical, real-time, and available forecast data

Efficient portfolio processing through automated geospatial enrichment

Better-connected insurance workflows with reusable, analysis-ready spatial information

Enterprise technology for portfolio risk intelligence

Quarticle brings geospatial processing, hazard intelligence, and spatial analytics together to help insurers transform portfolio location data into actionable risk insights.

Automated portfolio enrichment with Rapid

Enrich property locations with relevant spatial attributes and risk information. Automate geoprocessing across smaller books and larger portfolios to prepare more complete, analysis-ready data.

Natural hazard intelligence with EventHub

Integrate natural event information into insurance workflows to help identify potentially exposed assets and support timely assessment of relevant events.

Portfolio exploration with Graph

Visualise insured locations on interactive maps to examine geographic distribution, explore spatial patterns, and investigate concentrations of exposure across a portfolio.

Integration with insurance systems

Connect geospatial data and analytical outputs to existing insurance applications and data platforms through supported APIs and interfaces.

Who Benefits

Underwriters & Risk Modelling Teams

Use enriched property data and hazard insights to inform risk selection, pricing, and modelling.

Exposure & Portfolio Managers

Identify geographic concentrations of insured assets and assess how exposure is distributed across a portfolio.

Catastrophe Risk Teams

Incorporate hazard information and available forecasts into exposure assessment, catastrophe risk analysis, and planning.

Data & Geospatial Teams

Improve asset location data quality and automate the preparation of spatially enriched portfolio data for downstream analysis.

Reinsurance Teams

Prepare spatially enriched portfolio data to support accumulation analysis, portfolio assessment, and reinsurance submissions.