Poor data erodes trust. Alation Data Quality uses artificial intelligence and metadata to find high-impact data assets, create 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 AI-powered Data Quality Agent learns how your organization uses data. It automatically suggests and applies tailored rules, reducing manual work while enforcing high data quality standards. As a result, 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’s Behavioral Analysis Engine (BAE) learns from query patterns, usage metrics, and behavior signals to identify critical data elements. This enables you to focus quality efforts where they drive the most business value.
AI recommends quality checks automatically—no manual rule-writing or risk of human error. You can apply or modify them to get fast, scalable coverage across data sources within the Alation Agentic Data Intelligence Platform. Ensure data accuracy and accelerate 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.
Alation leverages agentic AI and metadata to proactively identify high-impact data assets. It then generates tailored rules automatically for anomaly detection and data validation, reducing manual effort. The AI learns from usage and behavior signals, so checks are relevant and rapidly implemented.
Unlike traditional solutions, Alation’s AI data quality solution automatically suggests and applies customized rules based on your data use cases—this is central to data quality management. It also incorporates observability signals and integrates resolution into daily workflows like Slack, Teams, or BI tools to accelerate fixes.
Alation analyzes query patterns, usage metrics, and behavior signals to spotlight the most critical assets driving business value. It then surfaces urgent data errors and issues—such as missing values and inconsistent data—within the Alation Data Catalog. This allows for fast resolution, ensuring users always have accurate data to guide their decision-making.
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