Nearmap’s AI-powered models approved in 27 markets
Insurers can leverage the predictive scores to help price risk.
To begin, making the decision to acquire or expand the BI tools at your disposal does not cause insight or capability to automatically spring to life. There is a technical side to these efforts, one that involves housing data and learning to work with the technology. The breadth of reporting in these environments evolves over time as data and functionality are incrementally added. It is common to have traditional methods for acquiring and analyzing information coexist with new functionality for a long time. In fact, the need for specialized skill sets to bring together data and manipulate it in familiar tools like spreadsheets does not go away, although the dependence on these approaches can be reduced.
There is, more importantly, a strategic side to this effort. This side requires business leaders to decide what information is important, why it is important, and how it will be used. The range of possibilities in highlighting performance hot spots, slicing data, and drilling to potential problem areas is enticing. It is easy to be seduced by the possibilities. Remember, though, that having more insight doesn’t make your organization more capable of acting on that.
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Insurers can leverage the predictive scores to help price risk.
New technology juggles storm water risk, urbanization and climate change.
It’s important to resist trying too hard and sending the wrong message.
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Rain-related business disruptions can be costly for your clients. Parametric hourly rain insurance offers a proactive approach to mitigate financial losses from weather conditions. This data-driven solution delivers fast, automated payouts when rainfall thresholds are met, ensuring your clients are protected when they need it most.
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