Credit decisioning
Make better and faster business decisions to acquire the right customers.
Combine machine learning analytics with our proprietary and partner data to return a single optimal decision.
Our enterprisewide credit decisioning engine facilitates faster, more streamlined decisions so you can quickly respond to requests and exceed customers’ expectations.
Make timely risk assessments and apply appropriate verification solutions with flexible orchestration and advanced analytics on a single state-of-the-art credit decisioning engine.
Our credit decisioning engine returns real-time or batch results, so you can acquire good customers and manage your portfolio risk.
Control risk with improved decision accuracy, reviews of inconsistent information, expanded view of risk factors and earlier intervention.
Quickly acquire high-value customers by leveraging credit origination solutions through cloud computing.
Credit decisioning is the process that lenders use to evaluate the creditworthiness of a potential borrower. This process includes examining the borrower's credit history, current financial situation and ability to repay the loan. Lenders use this information to determine whether to approve or deny a loan application and under what terms and interest rate. This risk assessment is crucial in limiting potential defaults and portfolio risk.
In order to automate and streamline the credit decisioning process, lenders can leverage a credit decision engine that uses advanced analytics and algorithms to efficiently assess a borrower’s creditworthiness. A credit decisioning engine quickly processes vast amounts of data, including credit, employment, income and identity information to better predict risk and improve operational efficiency.
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