Data is the lifeblood of financial institutions and other organizations. It is used to run processes, manage financials, predict risk, prove compliance, target customers and influence decisions. In anti-money laundering (AML) and compliance, the data required to identify and combat financial crime is complex. It is also difficult to gather because data is often stored across a patchwork of legacy systems, new systems and siloed business-specific applications.
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