Similarly, while platforms like Google Maps are popularly accessed for geospatial imagery, they come with their own set of challenges. The capture date can be ambiguous and, at times, years old. For insurers who rely on the most recent data to make informed decisions, this outdated information can skew the understanding and assessment of risks.
The central issue isn’t just the volume of data available but its intrinsic quality. For data to be truly valuable, it should be current, transparent, and accompanied by the necessary context to inform strategic decisions in both underwriting and claims management.
The advantage of quality intelligence
Nearmap is revolutionising the way insurers access and apply property intelligence by focusing on delivering accurate, high-value data through state-of-the-art geospatial imagery and AI.
Underwriting: Nearmap imagery focuses on both precision and customer well-being. We swiftly identify potential property risks, whether it’s a deteriorating roof, a trampoline, or solar panels. This accuracy equips insurers with data for tailored risk models. Our imagery, for instance, highlights properties at risk for fire damage, assisting insurers in making vital policy decisions.