The details and current status of data requests submitted through the Data Request Help Desk page can be seen here.
Lack of access to SBA loan data
Historically, lenders have evaluated the creditworthiness of borrowers -- and underwritten loans to these borrowers -- by mining bank statements, tax returns, financial statements and credit reports, often using a pen, calculator and spreadsheet. This is an antiquated process with limited potential for scalability. But, online lenders are analyzing troves of public data -- such as Yelp reviews, Facebook likes, and BBB ratings -- to build algorithms that can mathematically assess a borrower's creditworthiness in ways that are certainly additive to their underwriting process if not outright determinitive. The federal government could go a long way toward accelerating predictive modeling in this sector if it made its data on small business loan performance through the Small Business Administration's loan program -- and its network of 5,000+ lenders -- publicly available without personal or business identifiers.
SBA is working on this request, will be publishing this data in the next quarter to the public.