Data quality is important to ensure the data your users are working with is accurate. Automated data classification helps to ensure that new data coming in is recognized and classified appropriately. Together, data quality and classification help agencies and organizations make their data more reliable, understandable, and ultimately, more usable to drive improved mission outcomes. 

View this on-demand recording to learn how:

• Collibra Data Quality and Observability is used to monitor data quality and data pipeline reliability to help you rapidly detect anomalies
• Automated data classification helps to speed accurate data ingestion
• Data quality and classification are better together