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AI in Business
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About Lightdash

Lightdash is a platform that supports business intelligence and analytics by connecting to dbt projects and data warehouses, then enabling AI agents to handle queries, dashboard creation, metric management, and semantic layer maintenance. The system processes natural language inputs or code-based instructions to generate charts, tables, dashboards, and updates while enforcing consistency through a governed layer. It facilitates tasks such as asking questions in Slack, automatically building visuals, refactoring metrics in code, embedding analytics, scheduling deliveries, and tracking usage. Additional functions include version control/CI/CD for BI assets, preview environments, alerting, and integrations for workflow automation, all via cloud or self-hosted deployment.

1 Community Discussion

Jackswing95 · Lightdash AI in Business

Anyone using Lightdash in production? Is it actually a good Looker-style Business Intelligence tool if you’re on dbt?

I’m looking at **Lightdash** as an option that plugs into DBT (Data Build Tool) and lets you define metrics once (semantic layer) instead of rebuilding logic in every dashboard. It sounds perfect in theory… but I’d love real-world feedback. Anyone used Lightdash? Can you please give me some insight? **If you use Lightdash:** - What stack are you on (dbt + BigQuery/Snowflake/Redshift/etc.)? - Does it actually reduce “metric definition chaos” across teams? - Any pain points (performance, permissions, modelling, adoption)? - If you switched away from Metabase/Superset/Looker, why? Thanks, I am new here and looking forward to a community response.
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