Data Quality - A 101 Guide - DataOpsZone
Introduction In today’s data-driven world, the importance of data quality cannot be overstated. As organizations accumulate vast amounts of data from various sources, ensuring the quality of that data becomes paramount. Data quality refers to the accuracy, completeness, consistency, timeliness, relevancy, and validity of data. It is the foundation upon which effective decision-making, efficient resource … Continue reading "Data Quality – A 101 Guide"| DataOpsZone
