Organizations need high quality data to inform sound decision-making but have typically focused only on improving data at the Master Data level. Addressing issues at all other levels was seen as too difficult, too costly, and likely to consume countless IT hours. Now, with eprentise Data Quality software, organizations can take a holistic approach to improving data quality by addressing discrepancies that may occur at any data level, not just in Master Data.
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