If geospatial insight shows up after the quote, it is often just a more sophisticated way of explaining what should have been priced differently
Why Geospatial Analytics Should Influence the Quote, Not Just Explain the Loss
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Danielle Dron
About
Danielle Dron brings over 13 years of experience in data and analytics, delivering complex analytics initiatives, and driving results in fast-paced SaaS environments. Danielle specializes in turning raw data into actionable insights that drive operational efficiency and business impact for insurers. Her expertise spans data strategy, analytics delivery, and stakeholder alignment, all with a focus on enabling smarter, faster decisions. Known for her customer-first mindset and ability to execute under pressure, Danielle plays a key role in advancing data-driven innovation across the insurance ecosystem.
Recent Articles
How to Build Resilience When Climate Risk Won’t Sit Still
The next disaster won’t follow the old models and neither should your portfolio strategy. Here’s how you can prepare for disaster season.
The Geospatial Blind Spot Undermining Your Hurricane CAT Models
Most insurers are still flying blind, relying on CAT models that assign equal risk to unequal properties. When the next hurricane hits, it won’t be the wind that costs you. It’ll be the blind spot in your risk model.