Now everyone can put data to work

What changed

Source summary

OpenAI launched a new Data agent inside ChatGPT Work that lets employees analyse company data using natural-language questions, without needing technical skills. It connects to platforms including Snowflake, BigQuery and Databricks, builds interactive dashboards, and integrates with existing BI tools.

Why it matters to your work

Practical interpretation

If your team uses ChatGPT Work and has data sitting in Snowflake, BigQuery or Databricks, non-technical staff can now ask plain-English questions and get back dashboards and charts instead of waiting on an analyst. Worth trialling for finance, ops or reporting tasks that currently rely on a spreadsheet specialist.

When this could help

Worth evaluating if your organisation uses ChatGPT Work and wants non-technical staff to self-serve data analysis across connected enterprise data sources.

The Data agent in ChatGPT Work connects to enterprise data sources (Redshift, BigQuery, Snowflake, Databricks, MongoDB, ClickHouse) and BI tools (Tableau, Power BI, Sigma, ThoughtSpot), lets users ask questions in natural language, and builds interactive dashboards with visualisations that teams can edit, share, and refresh.

How to get started

1. Find the Data agent in the ChatGPT Work Plugins directory. Connect your approved data sources. Ask a question in natural language and the agent will query, analyse, and build a dashboard.

   Provider guidance ↗

Build it into your routine

SCALA suggested workflow

1. Self-serve data analysis

   When you need a data answer — instead of requesting a report from an analyst — ask the Data agent directly. Review the evidence behind each finding and share dashboards with your team.

What to check

• Enterprise administrators choose which data connections are available and which roles can use them. Queries respect the connected account's existing permissions. Source ↗
• Pricing and plan tiers are not stated in the announcement. Source ↗