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Acin wins Risk.net’s OpRisk Innovation of the Year, for second year in a row
At a basic level, data quality describes the correctness and completeness of a data set. High quality data is important for risk management, as it enables stakeholders to trust information they are working with to make decisions. Low quality risk management data can lead to poor outcomes.