Meet the new Data agent in ChatGPT Work: turn your company’s data into answers, interactive dashboards, and action, just by asking.

People across every business have questions that data can answer. Why did sales slow down? Where is spending rising? Which issues threaten renewals in our largest accounts, and what should we fix first? Getting those answers often means waiting for a report or asking someone else to run the analysis.

We’re introducing a new Data agent in ChatGPT Work⁠(opens in a new window) to help more people answer those questions themselves. It connects to your company data, investigates what changed, and builds interactive dashboards you can share. Direct and refine the analysis in one conversation, without writing queries or learning a new analytics tool.

The Data agent connects to approved data sources including Amazon Redshift, Datadog, Google BigQuery, ClickHouse, Databricks, MongoDB, Snowflake, and more. It can also bring files and documents from Google Drive and SharePoint into the analysis.

It uses your organization’s business terms, metric definitions, custom calculations, and data relationships to interpret the data. This context comes from semantic layers and trusted sources such as Databricks Genie Ontology, dbt, GitHub, Snowflake Horizon, and BI dashboards.

Enterprise administrators choose which data connections are available and which roles can use them. Queries enforce the connected account’s existing permissions, including table, row, and column restrictions.

Ask follow-up questions to investigate the results and review the evidence behind each finding.

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