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.
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.
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.
OXFORD, Ohio, April 12, 2022 /PRNewswire/ — Today, RIBBIT Inc. announced the appointment of Greg Rable to the RIBBIT Board of Directors. As the former Founder/CEO of FactorTrust, since acquired by TransUnion in 2017, Greg brings over 25 years of management and strategy experience, combined with a history of building successful fintech and alternative data businesses for the consumer finance space. In his role, Mr. Rable is helping guide the RIBBIT leadership team and promote the growth of bank behavior data as a powerful and necessary predictive data solution.
Financial inclusion matters not only because it promotes growth, but because it helps ensure prosperity ~ Sri Mulyani Indrawati
How arbitrary are the words ‘financial inclusion’; who’s in, who’s out and why is it so unfair? If a consumer is ‘in,’ there are financial opportunities for building a better life. If a person is ‘out,’ good luck with climbing out of a deep money pit. Today’s financial institutions think they are building a more inclusive process. However, many are still using information reflective of historical bias so if it didn’t work then, it ‘ain’t gonna work now’.
When a man gives you a rose, what you see may not be what he intends~ Patrick Rothfuss
Assessing information is the foundation of most of life’s important decisions. Mistakes are made when the data is unavailable, unclear, inaccurate, insufficient, immaterial, or unjust. How many people have suffered throughout history by poor decision-making? Like it or not, today’s world is data driven, hopefully an information mecca for making insightful, educated, proven and unbiased decisions. However, data is just that, information on a page, it becomes meaningful only when it is wisely analyzed and interpreted.