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The client struggles to analyze large volumes of tabular data to determine insurance profitability, predict profitable cases, and visualize actionable insights. Current systems lack real-time processing capabilities, flexible filtering, and predictive modeling for risk evaluation.
A technology-driven insurance company leveraging patented analytical methods and unique data sources to evaluate property risks and streamline insurance purchasing processes.
Enables data-driven underwriting decisions through real-time profitability insights, with potential revenue growth from optimized policy pricing. Predictive modeling improves risk assessment accuracy by 89%, while automated reporting reduces manual analysis time by 900+ hours/month.