$5M+
Over 25% of organizations lose more than $5 million annually due to poor data quality, with 7% losing $25 million or more
(Forrester, 2023)
94%
Up to 94% of time in complex industries is spent preparing data for analytics and AI—leaving little room for innovation
(Gartner, State of Metadata Management: Aggressively Pursue Metadata to Enable AI and Generative AI, 2024)
40%
Enterprises without a metadata-driven approach to modernization spend up to 40% more on data management
(Gartner, State of Metadata Management: Aggressively Pursue Metadata to Enable AI and Generative AI, 2024)
Key capabilities of Alation Data Quality
Measure what matters
Alation DQ identifies and prioritizes business-critical data assets using metadata-driven usage patterns and governance policies, eliminating guesswork and reducing costs.
AI-powered automation
Alation DQ Agent analyzes data usage, governance policies, and semantic context from the Alation platform to generate tailored quality rules automatically, eliminating manual setup and ensuring continuous, proactive monitoring with minimal effort from data teams.
Seamless integration
Alation DQ uses metadata, lineage, and governance policies within the Alation platform to provide a unified view of data quality. Monitor, prioritize, and enforce quality standards across all data assets with integrated workflows for seamless data management.
Comprehensive data health view
Integrate DQ metrics from Alation DQ and partner data quality and observability tools via the Open Data Quality Framework for a unified view of data health for real-time insights, proactive issue detection, and confident decisions across your organization.
