Madrid, 25th Jan 2021
Knowing the customer’s complete background before agreeing to a loan will help to detect potential risks of late payment or identify payment guarantees
Good financial health, according to GDS Modellica, requires effective technology to manage debt recovery and detect identity fraud quickly.
When a bank agrees to provide a loan, they have to trust that the customer will honour their payment terms and conditions. But lending always comes with risk. To mitigate these risks, GDS Modellica offers the Modellica Collections Engine (MCE). This is a solution that evaluates the borrower’s situation using their credit history and predictive data from their connections, whether they’re an individual or an SME. This data analysis can be extremely powerful for developing the right strategies to personalise their debt recovery processes, increase efficiency and maintain long-term relationships with good customers. This technology can also help banks manage customers that may have problems in the near future. Spotting a potential default before it happens is always the best way to reduce the portfolio in arrears, as well as increase customer loyalty and profitability.
Unlike previous crises, the COVID-19 crisis is not a banking crisis. It’s a crisis of
Press Release Madrid, 18th Jan 2021 Financial, liquidity and economic problems, unexpected incidents, poor management,