How deep-dive analysis of historical loss data helped support stronger insurance renewal negotiations.
A Real-World Example of Loss Forcasting using RiskMap
Risk Analysis Services works with the City of Aurora, Colorado to examine their historical loss data using RiskMap®.
The objectives are to provide insights that help Aurora’s risk manager and broker make a better case with their underwriters during insurance renewals.
By examining the underlying patterns within the data — including frequency, severity, and development characteristics — the analysis helped clarify how Aurora’s actual loss performance compared with underwriting assumptions.
What RAS Helps Clarify
The RiskMap® analysis examined characteristics of Aurora’s historical loss experience, including:
- Claim frequency patterns
- Severity trends
- Empirical Loss Development
- Volatility characteristics
- Alignment between historical loss performance and underwriting assumptions
This deeper view of loss data helped provide clearer insight during renewal discussions.
Client Perspective – City of Aurora, Colorado
“When Alan does his work, he sends you about 50 pages of charts and graphs and a summary. Now, I’m an attorney — not a statistician. I didn’t take statistics in college. I hate math.”
“But he walked me through everything so I could understand it. That was extremely helpful because I had to explain to my team what we were doing and why this analysis mattered.”
“When we started looking at the charts and really diving into the data, it helped my brokers negotiate a better rate on some coverages and achieve premium savings.”
Organizations with substantial historical claims data often bring extensive information to the insurance marketplace — yet pricing does not always reflect the true underlying patterns and trends.
Why This Matters
Insurance renewal discussions are often driven by assumptions about loss trends and volatility. When organizations have a clearer understanding of the structure of their historical loss experience, they are better positioned to evaluate premium changes, retention strategy, and underwriting discussions.
Independent analysis can help support more informed conversations between risk managers, brokers, and insurers.
Who This Type of Analysis Helps
RAS analysis is often valuable for organizations that:
- Are facing significant premium increases
- Are evaluating retention adjustments
- Have complex or volatile loss history
- Want clearer insight into historical loss patterns
- Want stronger data support during renewal discussions
