Effectively managing and matching large amounts of data is one of the biggest challenges accountants face during the month-end close. High-volume reconciliations tend to be done manually, which is both time-consuming and error-prone.
Read this white paper to learn how:
An academic health science center defined a strategy for an automated reconciliation system
A restaurant company automated 99% of their GL detail matching and 96% of cash to GL matching
Automating the reconciliation process expedites the month-end close and provides both visibility and control
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