JA EN
shiichan

Build Dashboards With Just Natural Language! ChatGPT Work Gets a Data Agent!

OpenAI News ★★★★ View Markdown
#openai#ai#business

Hi, it's me, Shiichan! Today's news could make data analysis a lot more accessible.

OpenAI News openai.com

What was announced?

OpenAI News introduced Data agent, a new capability in ChatGPT Work. It lets people without technical expertise analyze company data and build or share interactive dashboards just by asking questions in plain language.

Why it matters

Building even a single dashboard usually requires a dedicated analyst or engineer, which slows teams down. Data agent takes over that work through natural language, bringing data-informed decisions within reach of teams that don't have dedicated analytics support.

What changes

Data agent can connect to data sources including:

  • Databases like Amazon Redshift, Google BigQuery, Snowflake, Databricks, MongoDB, and ClickHouse
  • Files stored in Google Drive or SharePoint

It also pulls in a "semantic layer" from tools like dbt or Snowflake Horizon — your organization's business terms, metric definitions, and custom calculations — so its interpretation of the data stays accurate.

It can also take action:

  • Build dashboards
  • Share them via Slack or email
  • Automate execution through connected tools
  • Integrate with BI tools like Power BI, Tableau, Sigma, and ThoughtSpot

Dive Deep

More than 11 enterprise partners are already involved, with companies like NTT Data, Thermo Fisher Scientific, and ServiceTitan using it in an alpha program for things like sales analysis, expense management, and dashboard building.

To access it, just select "Data" from the ChatGPT Work Plugins directory. Admins control which data sources users can connect to, and existing access permissions apply automatically.

Wrap-up

  • ChatGPT Work now includes Data agent, which analyzes enterprise data via natural language.
  • It connects to databases like Redshift, Snowflake, and BigQuery, plus files in Google Drive and SharePoint.
  • A semantic layer from tools like dbt or Snowflake Horizon keeps business terminology consistent.
  • It covers everything from dashboard building to Slack/email sharing and BI tool integration.
  • With companies like NTT Data already in alpha, this is a solid addition for organizations without a dedicated data team.

Related posts