Ventana Research: MDM is Better with Intelligent Data Quality
According to Ventana Research, 89% of organizations reported that data quality issues were an impactful or very impactful barrier for their organization. Master data management (MDM) plays a central role in unifying and cleansing data, enriching it, then making it available to all who need it.
But data is always changing, and point-in-time data quality checks just aren’t good enough. You need continuous, automated data quality, using modern technologies such as machine learning (ML). So you can find and fix data errors quickly and easily—and be confident that your data is always in good shape.
To learn more about the importance of automating data quality management, read the analyst perspective by Ventana Research, “MDM is Better with Intelligent Data Quality.”
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