Challenges in aggregating data from diverse sources delayed NPA monitoring and data-driven decisions.
Detect anomalies in real-time by analyzing data, spotting outliers, and preventing fraud.
Multiple data sources, bias in manual risk evaluations, and slow credit scoring hinder adaptation.
Fragmented data hindered AML efforts, making detection and compliance inefficient and cumbersome.