Alation Data Quality surfaces and monitors your most valuable data—using agentic AI and metadata—to drive trusted decisions and AI at scale.
Poor data erodes trust. Alation Data Quality uses AI and metadata to identify high-impact data assets, generate rules automatically, and surface issues in context—so data teams can focus on insights, not detective work. Gain confidence with prioritized data quality at scale, all within the Alation Agentic Data Intelligence Platform.
Alation’s intelligent Data Quality Agent learns from how your organization uses data. It automatically suggests and applies tailored rules, reducing manual work while enforcing data quality standards—so your team can focus on delivering insights, not fixing broken data pipelines.
(Forrester, 2023)
(Gartner, State of Metadata Management: Aggressively Pursue Metadata to Enable AI and Generative AI, 2024)
(Gartner, State of Metadata Management: Aggressively Pursue Metadata to Enable AI and Generative AI, 2024)
Alation Data Quality delivers intelligent, instant, and proactive data quality—powered by agentic AI and metadata. It surfaces what matters most, applies the right rules fast, and helps resolve issues in the flow of work—all within the Alation Agentic Data Intelligence Platform.
Alation Data Quality uses query patterns, usage metrics, and behavior signals to identify critical data assets—so you can focus quality efforts where they drive the most business value.
AI recommends quality checks automatically—no manual rule-writing. You can apply or modify them to get fast, scalable coverage across data sources, closing the data trust gap and accelerating time-to-value.
Surface and resolve data quality issues in the Alation Data Catalog, with alerts sent to Slack, Teams, email, or BI tools via Alation Anywhere. No context switching—just fast fixes where people work.
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