Preparing exposure data for import into catastrophe models is a vital but labor-intensive component of the aggregate management and risk modeling process. Poor data impacts modeled estimates and results in increased internal costs.
The Data Cleansing Service provides a rigorous process for data formatting, cleansing, and geocoding enhancement, with a strong focus on quality. The Data Cleansing Service frees clients from the execution-oriented aspects of using catastrophe models, allowing them to focus on advanced analysis, decision making, and business insights.
The process includes:
Data formatting, classification, organization, and error correction. Coding modifiers and assigning exposure values to coverage. Preparing cleansed data in formats importable in Risk Link. Geocoding and enhancing the geocoding results.
Software’s used Risk Link, SQL Server, and MS Office.