Data Documentation Agent
Less Time Documenting Data— More Time Using It
Streamline documentation with an agent that automatically translates data context to business terms and suggests descriptions you can approve or refine.
50%
Integrating AI into data management plans can boost productivity by over 50% for critical manual tasks, allowing data teams to focus on value-added work.
BCG, “The Future of Data Management with AI”, Dec 2024
94%
In complex industries, up to 94% of time 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)
Frequently asked questions
What types of metadata does the Documentation Agent identify and translate?
Alation’s data documentation solution detects technical metadata like table names, columns, data types, and lineage. It also identifies business terms and definitions, helping populate a data dictionary and clarify schema details. Technical details are translated into clear, user-friendly language so metadata is accurate and easy to understand.
How is the Documentation Agent deployed and integrated into existing data environments?
The Documentation Agent connects to your data sources through secure APIs and centralizes documentation Alation’s data catalog. It integrates with Alation without major changes to your systems. Once connected, it scans and processes metadata automatically—the agent can ingest existing content (for example, a readme file) and link it to relevant data assets.
How does the Documentation Agent help streamline manual documentation workflows?
Alation Documentation Agent automates repetitive documentation tasks. It captures metadata directly from your data sources, keeping descriptions clear and consistent across data elements and codebook entries. This saves time and helps teams focus on higher-value work.