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Data Documentation Agent

Always-current documentation, generated automatically from sources that know your data, all with no manual effort required.

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OVERVIEW

Documentation that writes itself

Finally create up-to-date and comprehensive documentation on any data set. The Data Documentation Agent pulls in catalog metadata, any existing documentation (from corporate wikis or file shares), and even relevant chat conversations to create the most up-to-date and comprehensive description of what your data means and how it should be used.

Why it matters

Enterprise data context is fragmented and spread across wikis, Docs, and Slack or Microsoft Teams in ways that are hard to find, frequently outdated, and often contradictory. The result isn’t just friction for analysts. It’s a reliability problem for every AI agent that reasons over your data.

Critical context is everywhere and nowhere.
What a table means, how it should be used, and what caveats apply is buried across wikis, Docs, and Slack or Microsoft Teams threads that are hard to find, outdated, or contradictory.

Analysts can’t reliably use what they can’t trust.
Without consistent documentation, the same table gets interpreted differently by different people leading to metric inconsistency, rework, and downstream risk.

No scalable way to synthesize knowledge that already exists.
Every team has the raw material in conversations, files, institutional knowledge, but no automated path to turn it into something usable at the table level.

Semantic layers are brittle and expensive to maintain.
Existing solutions require custom setup, manual upkeep, and dedicated engineering time and don’t scale across a growing data estate.

The agentic era makes this existential.
Agents need trustworthy, structured documentation to reason over data correctly. Gaps in context don’t just slow down humans, they break agents.

HOW IT WORKS

From blank to brilliant in one easy flow

Step 1: Connect your knowledge.

Link chat channels where your team discusses data. Upload or connect to existing files from wikis, file shares, and runbooks. The Data Documentation Agent indexes them as sources without requiring you to leave the documentation flow.

Step 2: Generate in one click.

Press Generate and the Documentation Agent synthesizes everything it found across conversations, files, table metadata, etc. into a structured, plain-language document. Watch generation logs in real time as context accumulates.

Step 3: Continuously current.

If something is wrong or missing, just edit. When something changes in the synthesized data, hit Update. Manual edits you’ve made are always preserved as the Documentation Agent rebuilds from the latest information, never erasing human knowledge in the process.

KEY BENEFITS

Everything documentation should be

Adds Context to all your Anomalo Agents
When the Data Documentation Agent documents a table, it doesn’t just help humans, it gives AIDA – Anomalo’s Intelligent Data Analyst, the deep context it needs to answer questions accurately. Business terminology, table ownership, schema nuance, and more all available at query time.

Enrich Without Erasing
For tables that already have manually written documentation, the Agent adds new context from your sources while preserving the context of what humans wrote.

Enterprise-grade Access Control
The Documentation Agent respects Anomalo’s existing access groups and permissions. The setup flow is available to users with edit permissions. Restricted users can read but not configure.

WHO IT’S FOR

Built for every person
fighting bad docs

Data Analyst

The Builder.

“I build the tables but I don’t have time to document every field. And by the time I do, the schema’s already changed.”

Connect Slack or Microsoft Teams channels where you already discuss the tables. The Documentation Agent turns those conversations into documentation automatically and Update keeps it current when schemas evolve.

Data User

The Consumer.

“Half my time is spent figuring out what a field means before I can use it. I shouldn’t need a Slack or Microsoft Teams thread hunt to understand a column.”

Every table documented means AIDA gives you better answers instantly. No more asking around. Context is there when you need it.

Data Steward

The Custodian.

“I’m accountable for data quality in my domain, but I can’t manually write and maintain documentation for every table I own.”

The Agent covers your domain without requiring you to author every word. Enrichment keeps docs accurate as policies evolve.

Frequently asked questions

What is the Anomalo Data Documentation Agent?

The Documentation Agent creates up-to-date and comprehensive documentation on any data set by pulling in catalog metadata, any existing documentation (from corporate wikis or file shares), and even relevant chat conversations to create the most up-to-date and comprehensive description of what your data means and how it should be used.