Features
Unlike traditional platforms that rely on static exposure snapshots, we have designed our data model to understand that exposure data changes over time, sometimes rapidly, such as in the case of construction and moveable property risk. In our platform, you can update any exposure attribute at any time, whether incrementally or in bulk, manually or via integration with your systems using our powerful APIs.
Our analytics engines then allow you to create snapshots for analysis on the fly (read about our time travel analytics feature).
We believe that data quality is best assessed close to the point of data entry. Our platform proactively surfaces data quality weaknesses in an extensible framework where you can add your own validation rules, and control the degree to which you allow non-conformant data to be entered.
Our highly visual framework lets you see your data in the context of relative hazard, and helps you prioritize specific assets for data quality improvement.
Are you dealing with poor data quality, missing or incomplete information?
Our platform allows you to access global geocoding, multi-peril hazard lookup, COPE data augmentation and more from Melissa data, KatRisk, Hazard Hub, FEMA, USGS, USDA and other sources.
As an open platform, our data augmentation capabilities are always growing as we add new partners.
Our extensive data dictionary is not dependent on any model, which means we can capture data on any type of exposure, in an extensible framework that understands the language of insurance. We are continuously adding new subject areas beyond traditional catastrophe modeling input data, from supply chains to claims and business operations.
This, coupled with our powerful data import engine, means that you can consolidate and standardize data from disparate sources, and create your own data sets for benchmarking.
Any object in our platform can be shared with colleagues, clients or counterparties with a simple link. Different access levels ensure owners always have full control over their data. This ensures everyone is working from a single source of truth, reducing errors and omissions, and improving productivity.
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