Recovery Decision Science leverages data science, servicing transparency, and compliance to optimize recovery results of consumer credit accounts. We help our clients extract actionable intelligence from their raw data and discover opportunities to increase revenues while mitigating risk.
Recovery Decision Science was created from our love for data. Working with our affiliate Unifund, we have spent decades perfecting our use of data science to predict and unlock the value of distressed receivables portfolios.
In 2013, we created Recovery Decision Science to share our advanced data analytics tools with our friends and colleagues around the receivables management industry. Since inception, we have focused on refining our models through servicing our numerous portfolios. We use machine learning to constantly improve our understanding of each metric and enhance our ability to apply data science to real business situations.