In the battle against money laundering and fraud, data silos are the trenches where crimes often occur—and where it’s also possible for IT departments to get thrown off course in their AML efforts by mistakenly detecting crimes that don’t exist.

“Companies have lots of silos of data that are used for different purposes at the institution, and there’s a lot of chance for errors that lead to false positives and false leads,” says John Sabatini, a principal at Ernst & Young, who just finished a report on AML with Erin McAvoy.

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