Data Integrity Vs Data High Quality: How Are They Different?
Data quality administration aims to leverage a balanced set of solutions to forestall data quality meaning future information quality points and clean (and ideally ultimately remove) knowledge that fails to meet data quality KPIs (Key Performance Indicators). While some teams fear about gaps in data lineage and substance, others query its completeness and uniformity. That’s […]
