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High-quality data is the bedrock of an effective anti-money laundering (AML) and watchlist screening programme. Incomplete or inaccurate data can lead to false negatives, potentially allowing illicit activities to go unnoticed. Conversely, it can trigger false positives, leading to unnecessary investigations and resource wastage. With data volumes...
31 Oct 2023
Corporate AML compliance objectives are a balancing act of effective risk management, revenue goals, and cost savings, but the reality is that many organizations struggle to achieve this balance with their AML programs. Instead, they are hamstrung by disjointed processes that fail to use or share all the data or resources across the organization. ...