The availability of this data within the underwriting workflow drives significant efficiencies for underwriting teams and serves as a powerful tool to measure risk, ultimately ensuring quality decision making at the underwriter's desk.Ībout Two Sigma Insurance Quantified (TSIQ) TSIQ's partnership with SambaSafety marks another significant integration of critical datasets within SubmissionIQ, following on the heels of recent announcements with NominoData and Central Analysis Bureau. "The SambaSafety team is delighted to help power the SubmissionIQ platform in delivering more accurate data to underwriting teams in real-time to help reduce the overall risk profile of employers and their policyholders." "TSIQ provides a powerful solution for commercial auto insurance leveraging advanced data science techniques to streamline and automate the often-manual underwriting process," commented Adam Holcombe, VP of Corporate Development at SambaSafety. The ability to detect that type of activity early is critical to accurately evaluating submissions and preventing unnecessary risk to the firm." "In the commercial transportation industry, doctored MVRs and other types of fraud are an unfortunate reality. "Partnering with best-in-breed data providers like SambaSafety is a central tenet of TSIQ's commitment to supply critical data to underwriting teams earlier in the process to make informed decisions," said Michael Tessalone, CFO and Head of Corporate Development at Two Sigma Insurance Quantified. Available through a direct API connection, the combined power of this partnership allows teams to proactively validate drivers, combatting any attempt at disguising data and providing underwriters with a better picture of driver riskiness in order to capture the accurate premium reflective of the exposure. With the integration now live, underwriting teams utilizing the SubmissionIQ workbench have the ability to access a comprehensive set of SambaSafety data, including current and historical motor vehicle records (MVRs), traffic court data, aggregated telematics data and more.
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