Young people, in particular, struggle with getting loans to start new businesses or make large purchases due to a lack of credit and it’s not exactly their fault…What kind of alternative data would you use to build a default risk detection model for this population? Are there any loan providers serving this demographic that have published anything about their methods of determining risk?
TrackStar’s Predictive Credit Technology uses fifteen years of financial dispute data to create predictive models of future borrowing potential. With this data and AI technology, your bank or other lending company can mitigate the risk of fraud, improve existing customer relations, and reduce your operating costs.
Part of its suite of consumer data, CoreLogic CreditIQ provides customer data to companies. This data includes credit history, property ownership and mortgage records, legal filings, tax payment statuses, evictions, bankruptcies, and child support obligations.
DataX’s Credit Risk Mitigation provides risk analysis for business to identify and mitigate the risks associated with finance consumers.
A Confidential Credit Report assists clients in understanding the benefits and risks associated with certain companies.
Credit Bureau reports provide information about Peruvian companies for clients around the world.