Now everyone can put data to work
Now everyone can put data to work
现在，每个人都能让数据发挥作用
September 10, 2026. Meet the new Data agent in ChatGPT Work: turn your company’s data into answers, interactive dashboards, and action, just by asking. 2026 年 9 月 10 日。隆重推出 ChatGPT Work 中的全新数据智能体（Data agent）：只需通过提问，即可将公司数据转化为答案、交互式仪表板和实际行动。
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. 各行各业的人们都有需要通过数据来解答的问题。为什么销售额放缓了？哪些方面的支出在增加？哪些问题威胁到了我们大客户的续约，我们应该优先解决什么？获得这些答案通常意味着需要等待报告，或者请求他人进行分析。
We’re introducing a new Data agent in ChatGPT Work 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. 我们正在 ChatGPT Work 中引入全新的数据智能体，旨在帮助更多人自行解答这些问题。它能够连接到您的公司数据，调查变化原因，并构建可共享的交互式仪表板。您可以在一次对话中直接引导和优化分析过程，无需编写查询代码，也无需学习新的分析工具。
Connect to the company data and context your business trusts
连接到您企业所信赖的数据与背景信息
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. 该数据智能体可连接到经批准的数据源，包括 Amazon Redshift、Datadog、Google BigQuery、ClickHouse、Databricks、MongoDB、Snowflake 等。它还可以将 Google Drive 和 SharePoint 中的文件与文档纳入分析范围。
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. 它利用您组织内部的业务术语、指标定义、自定义计算和数据关系来解读数据。这些背景信息源自语义层及受信任的来源，例如 Databricks Genie Ontology、dbt、GitHub、Snowflake Horizon 和商业智能（BI）仪表板。
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. 企业管理员可以选择哪些数据连接可用，以及哪些角色可以使用它们。查询过程会强制执行连接账户现有的权限，包括表级、行级和列级的访问限制。
Turn questions into analysis and action
将问题转化为分析与行动
Ask follow-up questions to investigate the results and review the evidence behind each finding. 提出后续问题以深入调查结果，并审查每个发现背后的证据。
Turn the analysis into an interactive dashboard with built-in visualizations. Your team can edit, share, and refresh it as needed. Share your brand guidelines to tailor outputs to your organization’s look and feel. 将分析结果转化为带有内置可视化效果的交互式仪表板。您的团队可以根据需要进行编辑、共享和刷新。您还可以分享品牌指南，使输出内容符合您组织的视觉风格。
The Data agent can also build and interact with dashboards in Omni, Oracle BI, Power BI, Sigma, Tableau, and ThoughtSpot. Direct the work in plain language in the tools your team already uses. 该数据智能体还可以在 Omni、Oracle BI、Power BI、Sigma、Tableau 和 ThoughtSpot 中构建并交互仪表板。您可以在团队现有的工具中使用自然语言来指导工作。