According to Harvard Business Review, low-quality data costs U.S. businesses $3.1 TRILLION each year. Especially for insurance carrier and MGA underwriters, it's essential to have high-quality data. Injecting low-quality data into an underwriting workflow can create a host of downstream problems, such as misclassifying risks, adverse selection, compliance risks, and inefficient workflows. Read this whitepaper if you're looking to automate your underwriting process and capture more small commercial business. |