Digital Matrix Systems (DMS) has introduced ten new tri-bureau attributes to its DMS Summary Attributes® library, aimed at strengthening lenders’ capabilities to evaluate consumer repayment obligations by addressing evolving trends in credit reporting.
In recent years, DMS has noted a rise in self-reported tradelines within consumer credit files, including rental and insurance accounts. These tradelines, while supporting financial inclusion for consumers with limited credit histories, often exhibit reporting patterns such as consistent zero balances. Child support tradelines also commonly report zero balances but may show Monthly Payment Amounts (MPA) greater than zero. Historically, traditional attribute designs only calculated MPA for tradelines with balances exceeding zero, creating gaps that could impact the completeness and accuracy of lending models.
To address this industry shift, DMS developed and released the ten new attributes. These enhancements incorporate tradelines reporting a zero balance into MPA calculations. This allows lenders to more accurately capture repayment behavior across a broader spectrum of tradeline types, including those that previously fell outside standard usage-based calculations.
Aaron Trentacosta, Chief Operating Officer at Digital Matrix Systems, stated, “Lenders depend on DMS Summary Attributes for consistent, trustworthy insights, especially as the credit landscape evolves. We are always listening to what our clients are seeing in the market, and these new tradeline patterns are a good example. By expanding the attribute library, we are giving lenders better tools to assess repayment behavior and make stronger, more confident decisions.”
These new attributes are immediately available, providing lenders an enhanced view of repayment behavior and supporting more accurate and confident credit decisioning.
Founded in 1982, Digital Matrix Systems (DMS) provides data-driven insights, advanced analytics, risk management tools, and compliance solutions to financial institutions and insurers. The company’s offerings enable clients to leverage credit and alternative data for critical business decisions, navigating an evolving data ecosystem.
