riskdata trends

Use case for

Evaluate thin-file customers and identify their income.

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Harness the power of open banking

The most innovative global banks, lenders, brands and fintechs use account transaction data to understand how creditworthy their customers really are.



Global banks, lenders, brands and fintechs need fast and accurate access to open banking transaction data for use in credit scoring decisions.


A machine-learning based account analytics engine for automated income verification and other risk-critical factor check.

case 1

Income verification

Verify income for accurate financial decisions, instantly. Income verification describes client income sources, income type and income trends (stability and regularity) as well as future predictions on client’s income.
Value: Quickly and easily detect income sources, regularity and stability.
Related products: Income Insights

case 2

Thin-file customer evaluation

Lenders wishing to understand the true creditworthiness of their customers can leverage open banking and assess customer information beyond a credit report.
Value: Approving more loans.
Related products: Income Insights

Check credit history

Credit history checks show an overview of all past and current loans, based on the loan payments and received loan transactions. Lenders and fintechs can use credit checks to evaluate the creditworthiness of potential and existing customers.
Value: Full overview of the customers' real-time liabilities and recent loan repayments.
Related products: Loans Insights

Improve scoring models

Finding the most predictive data points in transaction data is key to improving scoring models. When combined with other data sources, it can help to optimize approval and default rates, and other scoring metrics.
Value: Approve more creditworthy applicants.
Related products: Scoring Insights

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