Looking Beyond Credit Risk to Identify Your Good Customers

On-Demand

Financial institutions are in the business of lending money, and as such, have leaned on the same methods for deterministic credit risk for decades. Why? Because for the most part, it's a model that has worked for them. A consumer fills out a loan or a credit card application and provides their social security number, date of birth, etc. and the financial institution determines the likelihood the consumer will pay back the loan. But one of the downfalls of this method is that there are many customers who exist outside of mature credit risk assessment models that are viable but will not be served.

Watch as Trenton Spratling, Global Account Director, Financial Services at Ekata explains the differences between deterministic and probabilistic data. During this webinar you will learn:

• How financial institutions can look beyond their traditional identity verification approaches
• The intricacies of probabilistic data - what it is and how it can help
• Benefits of incorporating machine learning models into your workflow