Case Study: QuarterSpot accelerates lending decisions and cuts default rates with Microsoft Azure Machine Learning

Revitalizing traditional lending by crunching data better

QuarterSpot, a small business lender, struggled with the slow and limited deployment of its risk assessment models. The company needed a way to quickly develop and operationalize sophisticated algorithms to gain a competitive advantage without the high cost of on-premises infrastructure. To overcome this challenge, they turned to Microsoft and its Azure Machine Learning service.

Microsoft's solution, Azure Machine Learning, automated the foundational processes, allowing QuarterSpot to instantly deploy new risk models. This eliminated a month-long deployment cycle, enabling the company to lead the market. The results were a over 50% reduction in default rates and a 15% increase in borrower approval rates. Microsoft's technology also allowed QuarterSpot to scale its platform for other lenders, reducing their underwriting costs by 83% per loan.

QuarterSpot

Adam Cohen

Chief Executive Officer