Case Study: Danske Bank achieves more efficient AML investigations with Quantexa Decision Intelligence

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Preview of the Danske Bank Case Study

Danske Bank Maximizes The Value of Data With Decision Intelligence

Danske Bank faced challenges with inefficient, manual anti-money-laundering (AML) investigations caused by siloed data, high volumes of false positives, and an inability to gain a holistic view of customer relationships and risks. To address this, the bank partnered with Quantexa to implement its Decision Intelligence platform, which utilizes advanced entity resolution and analytics.

By implementing Quantexa's solution, Danske Bank automated its investigative processes, integrating disparate data to create a complete, contextual view of customers and their transactions. This resulted in significant efficiency gains and cost savings, including a material reduction in investigation handling times and infrastructure costs. Quantexa's technology also improved investigation quality, drastically reduced false positives, and provided a standardized way for investigators to identify risk.


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Danske Bank

Bo Svejstrup

COO Technology & Services for Functions & Data


Quantexa

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