Atlan in Action⚡️

Faster root-cause analysis with embedded quality signals: Trace broken dashboards back to the exact upstream tables, columns, data quality checks, and pipeline tasks — directly from BI and Atlan, without manual investigation.

Faster root-cause analysis with embedded quality signals: Trace broken dashboards back to the exact upstream tables, columns, data quality checks, and pipeline tasks — directly from BI and Atlan, without manual investigation.

Proactive impact analysis for safer changes Understand downstream impact before schema or pipeline changes ship, identify affected dashboards and consumers, and notify owners via Slack or Jira to prevent breakages.

Shared context across Azure data platforms: Surface definitions, ownership, lineage, and governance for Azure data assets in one place, helping teams work with clarity and confidence across platforms.

End-to-end visibility from data to dashboards: Trace how data flows through Azure Synapse Analytics into downstream analytics and reporting, making it easier to understand impact and maintain trust.

Enable self-service with consistency built in: Empower analysts and business users to discover and use Azure data while maintaining alignment through standardized context and governance workflows.

Unify context across your stack: Connect Snowflake, Databricks, Tableau, Looker, dbt, and 50+ other tools to get automated lineage, searchable assets, and governance controls in one place.

Collaborate with clear ownership : Define metrics once in a shared glossary, assign stewards, and surface certification status and data quality signals so teams know what's trusted.

Activate context where work happens: Push lineage and documentation into Slack threads, Jira tickets, and BI dashboards so engineers and analysts get answers without leaving their tools.

Context Bootstrapping: How Context Studio bootstraps rich context from your existing data estate (lineage, SQL history, BI semantics, glossary terms) so you can go from zero to a credible AI agent in days, not months.

Context Engineering: How built-in simulation and evaluation workflows give teams a repeatable north star for accuracy, replacing gut-feel spot checks with structured test sets and confidence scoring.

Context Portability: How bounded, portable Context Repositories let you govern context once and share it across agents and experiences like Snowflake Cortex and Databricks Genie.