Decimal Point Analytics

Catastrophe Risk Modeling Services

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In today’s evolving global risk landscape, insurers require accurate and scalable catastrophe risk modeling to assess exposure, price policies, and strengthen portfolio resilience. At Decimal Point Analytics, we deliver advanced CAT modeling and disaster risk modeling for insurance, combining geospatial intelligence, structured data, and proven catastrophe risk models to quantify potential losses and support underwriting and reinsurance decisions across markets.

What We Do

Advanced Catastrophe Risk Modeling & Forecasting

Leverage advanced catastrophe risk models to assess exposure, simulate loss scenarios, and improve risk prediction across insurance portfolios.

Underwriting Support Through CAT Modeling

Enable underwriters with actionable insights from CAT modeling, helping evaluate risk at property and portfolio levels for better pricing and selection.

Catastrophe Risk Parameter Analysis

Analyze key catastrophe risk parameters including exposure, vulnerability, and event probability to strengthen catastrophe risk modeling accuracy.

Geospatial Risk Mapping & High-Risk Zone Identification

Develop detailed risk maps using geocoding and spatial analytics to support hazard risk modeling and identify high-risk zones proactively.

Why DPA

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Built for Insurance-Specific Risk Environments

Deep experience working with insurers ensures our catastrophe risk modeling aligns with real-world underwriting, exposure, and reinsurance requirements.


Accuracy You Can Rely On

Strong data validation, structured workflows, and quality checks ensure more reliable outputs from catastrophe risk models, reducing uncertainty in decision-making.


Scalable Support Across Portfolios

Whether evaluating individual risks or large portfolios, our CAT modeling approach scales seamlessly with business needs.


Faster Turnaround Without Compromising Quality

Optimized workflows and analytical processes enable quicker insights, helping insurers respond faster to risk and market changes.


Seamless Integration with Existing Systems

Our solutions integrate smoothly with your existing data and platforms, ensuring continuity across your disaster risk modeling insurance workflows.


A Long-Term Partner in Risk Strategy

We go beyond execution—supporting continuous improvement in catastrophe risk modeling and strengthening long-term portfolio resilience.

Frequently Asked Questions

Everything you need to know about CAT modeling with Decimal Point Analytics.

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Outsourcing CAT modeling allows insurance companies to leverage established processes, advanced analytics, and specialized expertise without building in-house capabilities. It helps improve efficiency, accelerate risk assessment, and enables internal teams to focus on core business priorities.

You gain access to a dedicated team of skilled CAT modeling analysts with deep domain knowledge and experience in catastrophe risk assessment, ensuring accurate modeling, analysis, and reporting.

We support detailed risk mapping, exposure analysis, and loss estimation. This improves visibility across portfolios and enables insurers to proactively manage risk rather than react to it.

Yes, outsourcing enables the use of advanced analytics for reinsurance pricing, portfolio optimization, and strategic planning, helping insurers structure more effective and data-driven reinsurance programs.

Decimal Point Analytics offer flexible resource scaling during peak periods, leverage global time zones for faster turnaround, and ensure seamless execution using industry-standard tools, resulting in improved efficiency and reduced operational stress.

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Let’s Transform what’s next, together

Decimal Point Analytics highlights the transformative impact of data analytics and automation in the financial sector, showcasing case studies and insights on enhancing decision making, risk management, performance optimization.

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