Data observability provides comprehensive visibility into an organization’s data health, enabling prompt identification of discrepancies, pinpointing root causes, and enforcing corrective measures. The five pillars - freshness, distribution, volume, schema, and lineage - offer vital insights into data integrity. Implementing a data observability framework and leveraging reliable tools empower organizations to address issues swiftly.