Now everyone can put data to work
2026-09-10 · OpenAI
Now Everyone Can Put Data to Work: Introducing the Data Agent in ChatGPT Work
OpenAI has announced the launch of the new Data agent within ChatGPT Work. This introduction marks a significant step in lowering the barrier to enterprise data analysis, truly realizing the vision that "now everyone can put data to work." With the Data agent, users can leverage artificial intelligence to process complex corporate data without needing a deep technical background.
Feature Overview
The Data agent integrates several powerful data processing capabilities designed to simplify the data analysis workflow through natural language interaction. Its core features encompass three main aspects:
1. Connect Company Data
The Data agent allows users to connect their company's internal data directly into the ChatGPT Work environment. This means users can break down data silos and bring business data scattered across different systems into a unified AI platform for management and analysis. Through a secure and streamlined data connection mechanism, enterprises can ensure that the AI processes and analyzes information based on the latest and most accurate internal records, laying the groundwork for subsequent insight generation and decision support.
2. Uncover Insights
Once the company data is connected, the Data agent utilizes artificial intelligence to deeply mine the hidden value behind the data. Facing massive and complex business data, manual analysis is often time-consuming and prone to missing key information. The Data agent uses advanced algorithms to automatically identify patterns, trends, and anomalies in the data, helping users quickly uncover insights. Whether it is a shift in sales trends, customer behavior preferences, or operational bottlenecks, AI can assist users in extracting conclusions with practical business significance from the data.
3. Build Interactive Dashboards Using Natural Language
The most innovative aspect of the Data agent lies in its interaction method. Users do not need to write complex code or use specialized business intelligence (BI) tools. By simply conversing with ChatGPT in natural language, they can instruct the AI to build interactive dashboards.
The workflow for this feature is as follows:
- Natural Language Input: Users simply describe the data dimensions, chart types, or analysis goals they want to display using everyday language.
- AI Intelligent Generation: The Data agent understands the user's intent and automatically performs data querying, aggregation, and calculation in the background.
- Visual Presentation: The system transforms the analysis results into intuitive interactive dashboards, where users can interact with the data through clicking, filtering, and other operations.
Conclusion
The introduction of the Data agent in ChatGPT Work represents a major upgrade to the traditional data analysis model. It seamlessly integrates the three core components of "connecting data," "uncovering insights," and "building dashboards," using natural language as the interactive bridge to significantly lower the barrier to data application within enterprises. Now, whether business professionals, management, or non-technical employees, everyone can leverage the power of AI to truly put data to work, driving the organization toward a data-driven model.