The Role of Non-Credentialed & Credentialed Bank Data in Underwriting

Now, during COVID, more than ever, people pay differently. Alternatives to traditional credit bureau scores are essential to the underwriting process. 

Bank data is more reactive to sudden economic changes, more demonstrative of real affordability, more revealing of individuals income and spending as a whole, more inclusive of profitable thin-file consumers, and more predictive of future payment behavior. Expertly-designed custom or generic modelling allows for automated and real-time decisioning to yield superior results.

Non-Credentialed bank data is sometimes also referred to as bank verification, non-consented, or non-permissioned data. Non-Credentialed data can be easier to integrate and implement through an API-only connection or as part of a full end-user widget experience.

Credentialed data is also known as Bank Login, or bank connection and requires a front-end widget to facilitate the log-in process. RIBBIT offers both solutions in a full comprehensive end-to-end user experience through our widget from person through payment, or piece by piece as modular support to your existing waterfall and underwriting plan.

 

RIBBIT provides predictive analytics with non-credentialed and credentialed bank intelligence to improve loan and payment performance, surpassing traditional credit solutions no matter how your customers choose to engage.

RIBBIT uses AI and adaptive learning to predict future bank behavior based on dependable and verified data through complete and modular solutions delivered through a single API connection. See our impressive suite of solutions for merchants, lenders, LTOs, financial institutions and fintechs online at RIBBIT.ai.

BankVERIFY+ │ BankLOGIN+ │ ACHProcessing │ BankINSIGHTS

RIBBIT is for merchants, lead purchasers, lead generators, recurring payments, subscription services, large financial institutions, small banks, rewards programs, loyalty cards, online stores, lease-to-own sellers, risk managers, lendtechs, fintechs, health care providers, insurtech, business lenders, sub-prime lenders, verification and validation servicers, regulatory bodies, credit bureaus, fraud prevention, and economic and financial studies.

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