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An average of 25% of new business submissions are found to have misrepresentation of facts to varying degrees. This finding emerged from a study of seven U.S.-based commercial insurers between January 2017 and January 2018.

It’s impossible for a team of underwriters and third-party experts, however formidable, to manually verify the facts. Nor is it a feat that traditional technology can undertake.

That’s why, we start with the assumption that all data is wrong. Risk Analyst subjects data from 8000+ data sources to a process of triangulation to improve data veracity.

The product uses proprietary algorithms to improve the accuracy of data. Be it misrepresented facts or suspect data sources, Risk Analyst ensures big data is clear of all discrepancies.