Risk Analysis Services helps clients use their own historical loss data to create a clearer, more credible picture of expected future losses.

Using our proprietary RiskMap® methodology, we analyze loss trends, loss development, claim frequency, severity, exposure-adjusted loss rates, and alternative retention levels. When the data supports it, this can help clients and brokers negotiate more effectively with insurers and reinsurers.

RAS helps clients present their risk more thoroughly to the insurance marketplace.

By analyzing losses across multiple layers, retentions, time periods, and exposure measures, we can often identify favorable trends that may not be visible in a standard review. When supported by the data, this can help brokers negotiate lower premiums, better reinsurance terms, improved collateral treatment, or more appropriate retention levels.

RAS goes deeper into the client’s own historical loss data by running numerous loss development and loss forecasting analyses across different SIRs, retention levels, and historical time periods.

This helps clients understand not just what the expected losses may be, but why the results are reasonable and how they can be explained to insurers.

We often reveal patterns that help tell the story of the risk in a more favorable way, including the impact of risk mitigation and risk management practices.

RAS does not assume every client’s data will support lower premiums.

Before accepting a full project, we review the available data to determine whether a deeper analysis is likely to produce useful results. If the data does not support a stronger marketplace position, we will say so.

Our objective is to determine what the data can credibly support.

Yes. Even when premium reductions are not likely, RAS analysis may still provide significant value by revealing patterns that are otherwise hidden in the data.

RAS analysis can help identify which areas of an organization’s operations may be contributing most to claim frequency, claim severity, and loss development.

It can also help measure whether prior operational changes, safety initiatives, claims management improvements, or risk control efforts have actually reduced losses over time.

RAS can work with many organizations that have credible historical loss data.

Examples include transportation companies, healthcare organizations, manufacturers, restoration companies, service businesses, public entities, non-profits, multi-location businesses, and other organizations with significant casualty loss experience.

RAS is generally most useful for organizations with substantial insurance costs and meaningful loss history.

Yes. RAS frequently works directly with brokers.

We help the client and broker understand the loss data, evaluate alternative retention levels, and support renewal or reinsurance negotiations.

We can also help present the findings to insurers.

Yes. When requested by the client, RAS can participate in discussions with insurers, reinsurers, or underwriters.

We can explain the empirical basis for our projections, assumptions, and conclusions in a clear, data-supported way.

The specific reports depend on the scope of the project, but RAS reports may include:

• Executive summaries
• Loss development analyses
• Loss forecasting analyses
• Retention and SIR comparisons
• Incurred loss development factors
• Inflation-adjusted developed losses
• Claim frequency and frequency rate projections
• Severity trend analysis
• Exposure-adjusted loss rate analysis
• Layered loss analyses
• Projected total incurred losses
• Ranges of projected total incurred losses
• Sensitivity analyses
• Graphs, exhibits, and supporting detail

Our reports are designed to be understandable, transparent, and useful in discussions with brokers, insurers, reinsurers, and senior management.

Most projects can be completed in 3 to 8 weeks after receipt of all required data, depending on the complexity of the project and the client’s specific requirements.

Expedited engagements may be available depending on scope and scheduling.

Data requirements vary by analysis type.

For loss development analysis, RAS typically needs successive annual loss runs for at least four years, preferably six to ten years, using a common valuation date.

For loss forecasting, RAS typically needs incurred losses, claim counts, historical annual exposure data, and current and projected exposure estimates.

Examples of exposure data include payroll, employee counts, vehicles, vehicle miles, sales, revenue, covered lives, or other measures appropriate to the client’s business.

Raw Excel data is preferred.

RAS generally needs at least four years of historical loss data. Six to ten years is preferred.

Credibility also depends on claim volume, data stability, volatility, and whether the organization’s operations or exposures have changed materially over time.

Yes. RAS can estimate claim frequency, frequency rates per exposure unit, projected future frequency, and frequency development trends.

This can help determine whether changes in losses are being driven by more claims, larger claims, changing exposures, or a combination of factors.

Yes, if the data supports that level of analysis.

RAS can analyze trends by location, division, operating unit, coverage, claim type, or other meaningful segments.

This can help identify where losses are improving, where problems are emerging, and where operational changes may have the greatest impact.

No. RAS complements actuarial work.

Our analysis provides deeper segmentation, alternative views of the data, and additional support for insurance and reinsurance discussions.

Yes. Confidentiality agreements are standard before clients provide detailed loss data.

RAS understands that loss runs, insurance programs, financial information, and internal risk data are confidential.

Yes. RAS can help client teams improve data collection, standardize reporting formats, and better understand how loss data can support risk financing decisions.

Yes. RAS has experience supporting other risk analysis organizations when additional modeling depth or specialized analytical support is needed.

These engagements are handled confidentially.

Not at this point.

RiskMap® is proprietary intellectual property developed by RAS and is currently used exclusively by RAS. After our next version of RiskMap is operational, licensing options may be considered.

At this time, clients receive the benefit of RiskMap® analysis through RAS consulting engagements.