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Data governance & AI platform

Documentation for the people who use Datahub

Learn how Datahub helps you govern data, ship AI products, and run your business — module by module. Every guide is written for the people who use the platform, not the people who build it.

Start with HERC Browse all modules

Where to start, by role

Eight common jobs-to-be-done, each with the three pages that get you there fastest.

Business user

Ask the platform questions and act on what comes back.

Data steward

Govern the terms, metrics and contracts everyone else relies on.

Metric author

Turn a KPI everyone argues about into one governed definition.

Dashboard builder

Compose live, governed dashboards on the warehouse.

Catalog steward

Make every asset findable, owned, documented and traced.

Automation engineer

Wire alerts, actions and integrations that run on their own.

Platform admin

Set it up once: modules, roles, approvals, defaults.

Knowledge / AI lead

Teach the platform your organisation so its answers are yours.

The six things Datahub does

If you read nothing else, read these.

HERC Your AI assistant and home page. Ask a question in plain language and get an answer grounded in your own governed data. Insights Live dashboards over your SQL warehouse — versioned, filterable, and backed by the metric definitions your organisation agreed on. Data catalog Every asset, its owner, its lineage and its documents in one searchable place — kept fresh by scheduled metadata harvests. Metrics One governed definition per KPI, reused by dashboards, alerts and the AI — so "revenue" means the same thing in every room. Flows & alerts Watch the data and act on it: rule-based alerts to Teams or email, and a visual automation engine for everything downstream. Governance Versions, approvals and audit under every asset. The same Submit for review button, the same trail, whatever you changed.

All modules

The full library, grouped the way the platform's own navigation is.

Getting started

Onboarding Center Onboarding Center — NL HERC (AI assistant) Tasks Organisation DNA HERC's diary Growth (maturity) Maturity v3

Automation

Processes (BPM) Alerts Flows (automation) Flow capabilities Python code steps

Insight

Insights (dashboards) Backing a card with a metric Matrix & multi-metric cards Import an HTML dashboard Cached query results Metrics (KPI definitions) Defining metrics & joins Semantic models Databricks Lakeview

Capture

Data catalog Business glossary Metadata engine Transcription Transcription glossary linking Events

Ownership

Domains Data contracts Data products

Administration

Administration Workflows (approvals) AI platform Custom agents AI chat (full page) AI chat — NL MCP governance Connection governance Connected apps Network & data residency

Integrations

Databricks per-user OAuth Databricks Genie Microsoft 365 Google Workspace Microsoft Fabric Azure SQL Database PostgreSQL Microsoft Copilot dbt: overview dbt: Azure Blob artifacts dbt: artifact fields

How to read these pages

Every module page follows the same spine, so you always know where to look under pressure.

When to choose this A fit-check at the top, before you invest the read.
What it looks like The surfaces, where they live in the UI, what's on each.
Concepts The vocabulary the rest of the page assumes.
Setup What an admin wires up once, and only once.
Limitations What the module deliberately does not do.
Audit & troubleshooting The long tail you actually need at 2am.

These pages are written for business users, administrators, data stewards and power users. They don't document UI layout shifts, refactors, or anything that's only meaningful to engineers building Datahub itself — internal architectural decision records live in docs/adr/ of the source repository.