Interview
Detailed risk maps have become crucial for the insurance industry
Prof. Dr. Sedat Doğan highlighted the importance of risk maps in policy pricing.
We develop high-resolution disaster susceptibility maps and WebGIS-based risk analysis platforms for the insurance and reinsurance sectors.
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GRIT's high-resolution susceptibility maps and machine learning models provide direct financial advantages to insurance companies in pricing, policy acceptance, and reinsurance processes.
The difference between traditional methods and GRIT technology.
Provides detailed risk scores for each policy. Minimizes losses arising from mispricing through geographic data that can be integrated into actuarial models.
Offers rapid address/coordinate-based risk assessment before site surveys. Accelerates acceptance decisions and focuses field teams on high-risk areas.
Provides critical data for identifying high-risk locations, targeting mitigation investments, and creating emergency response plans.
Acceptance processes are accelerated and standardized with address/coordinate-based risk scores in policy underwriting.
Contributes to developing more accurate and competitive tariff models through spatial risk distribution analysis.
Claims management becomes more effective with rapid post-event damage detection and reserve calculations.
Validated maps strengthen your reinsurance bargaining; they display portfolio risk transparently and clearly.
Specific analyses for regional density, OIZs, and industrial zones; ability to simulate portfolio impacts in catastrophe scenarios.
Enables field teams to make more accurate assessments during survey, expertise (loss adjustment), and on-site inspection processes.