A metadata answer to improving trade & e-comms intelligence
Banks are under pressure to improve the efficiency and
effectiveness of their surveillance processes. Many of them are
looking at ways to aggregate intelligence gleaned from invariably
separate e-comms and trade surveillance systems so that
analysts are faster at identifying false positives. That way, they
can focus on the alerts that actually require further analysis or
escalation and speed up functions such as trade reconstruction.
How does this work in practice?
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