“借助 ChatGPT Work 中的数据代理，用户可以直接连接到 Amazon Redshift，让探索数据、发现洞察并在整个组织中更快做出决策变得像提问一样简单。”

“将 ClickHouse 连接到 ChatGPT Work 中的数据代理，让实时分析呈现在所有做出大大小小决策的业务用户面前。”

“数千家组织依赖 Databricks Genie 在其企业数据上提供可信答案。Genie 拥有丰富的上下文，能够弥合从数据到洞察之间的差距。我们很高兴与 OpenAI 合作，让所有 ChatGPT 用户都能轻松利用 Genie 的数据智能。”

“我们的客户已在 Snowflake 中为企业数据和上下文构建了可信基础。借助 ChatGPT Work 中的数据代理，员工可以利用这些数据和访问控制来调查业务问题——同时 OpenAI 模型也为 Snowflake CoCo 和 CoWork 等体验带来智能。无论团队选择在哪里工作，都能共享对其业务的一致、受治理的理解。”

“我们客户最重要的数据都存放在 Atlas 中，并随着业务运行实时更新——每一笔订单、每一次会话、每一个事件都在发生时落地。现在，ChatGPT Work 中的数据代理可以直接访问这些数据，因此任何人都无需等待基于昨天数字构建的报告，而是可以用自然语言提问，并获得基于当下正在发生之事的答案。”

“将 Redis 连接到 ChatGPT Work 中的数据代理，让代理不再局限于查询数据，而是能够利用我们客户已经信任的上下文和访问控制，实时对数据采取行动。团队花在连接系统上的时间更少，花在让数据发挥作用上的时间更多。”

“G2 可信的 B2B 软件数据与 ChatGPT Work 中的数据代理相结合，可帮助团队了解买家需求、竞争动态和新兴趋势。它将来自经过验证的客户评论、买家意向信号和市场情报的洞察，直接带入团队做出决策的工作流中。”

“将Tableau与ChatGPT Work连接，可将可信的业务语义带入员工已经工作的地方，因此他们得到的答案基于其团队所依赖的同一数据模型。用户可以通过提问、探索证据，并使用内置的设计和分析最佳实践，将洞察直接发布到Tableau，从而轻松将洞察转化为行动。”

“Power BI通过数十万家企业使用的可信语义层，帮助人们做出更好的决策。借助ChatGPT Work中的Data agent，用户有了一种新选择：只需描述他们的业务问题，就能创建Power BI仪表板，使更多人更容易理解自己的数据并据此采取行动。”

“我们的客户使用Sigma进行收入预测和运营规划，因为其背后的指标、工作簿和分析都受到治理并可供共享。将其引入ChatGPT Work意味着，提问最快的地方现在也是答案基于语义的地方。”

“分析应该在团队工作的地方发挥作用。借助ChatGPT Work中的Data agent，团队可以使用自然语言在几分钟内构建ThoughtSpot AI分析。业务用户可获得基于他们已经信任的定义的受治理答案，而开发者则可通过单个提示交付可用的嵌入式分析应用。”

“在NTT DATA，许可成本、工作投入和技术专长使得在我们组织内扩大仪表板的使用变得困难。借助ChatGPT Work中的Data agent，许多非工程师，尤其是销售和公司职能人员，已经能够使用自然语言构建和更新自己的仪表板。”

“在Thermo Fisher Scientific，我们正在使用ChatGPT Work中的Data agent，并结合我们现有环境中的数据，帮助团队更有效地做好准备，并识别与供应基础相关的机会。我们看到了更清晰分析和更明智决策的潜力，这可以帮助我们更好地服务客户。”

“在ServiceTitan，我们使用ChatGPT Work中的Data agent构建了一个仪表板，显示我们的AI助手Atlas的用户发起活动的频率大约是非用户的3倍。这一发现正在帮助我们简化入门流程，并帮助更多客户采用Atlas。”

“在Zipline，我们正在使用ChatGPT Work中的Data agent探索公司数据，并只需用自然语言提问就能构建仪表板。在早期测试中，它揭示了我们最优秀的人才也需要花费数小时挖掘数据才能发现的深刻结论。”

“在Empower，我们使用ChatGPT Work中的Data agent合并组织数据和AI使用数据，发现采用趋势，并进行自己的分析。让我们印象深刻的是，它如此轻松地理解了自由形式的调查回复，呈现出否则需要大量人工努力才能发现的热门用例和洞察。”

“我们的领导团队使用ChatGPT Work中的Data Agent更好地理解我们业务的每一个部分——从分析销售漏斗和Intercom工单量，到审查Brex卡支出。每位领导者都能快速构建自定义视图，并深入挖掘最重要的趋势。”

“两天内，营销和财务部门的不同团队就在使用ChatGPT Work中的Data agent，将原始数据转化为针对每个办公室量身定制的交互式仪表板。它让复杂报告变得更容易获取，帮助我们将清晰、可分享的洞察交付给公司各地的领导者。”

“在CookUnity，我们的增长团队使用ChatGPT Work中的Data agent，只需提问就构建并完善了一个旺季转化仪表板。我们将结果与内部报告进行了核对，并缩短了规划季节性获客支出所需的时间。”

“在Turing，我们的业务运营团队使用ChatGPT Work中的Data agent探索运营指标并提出后续问题。它揭示了变化背后的驱动因素，帮助我们减少手动报告，并优先改进入门流程和客户满意度。”

“作为 OpenAI 的评估合作伙伴，我们通过严格的评估，已经看到 ChatGPT Work 中 Data agent 的强劲表现。在 micro1 内部使用它，让我们有机会亲身感受到这一价值。我们的运营团队通过用自然语言提问，自行构建了仪表板，并在半小时内重建了我们的绩效跟踪仪表板，同时发现了原始版本中的错误。”

“我们用它来了解跨行业、客户和 AI 用例中需求最强劲的地方，以及我们管道中的变化如何与交付能力相匹配。我们的业务发展和交付负责人可以编辑、共享和刷新这些记分卡，以优先考虑机会，并将合适的专业知识与客户需求相匹配。”

“With the Data agent in ChatGPT Work, users can connect directly to Amazon Redshift, making it as easy as asking a question to explore data, surface insights, and make faster decisions across their organization.”

“Connecting ClickHouse to the Data agent in ChatGPT Work puts real-time analytics in front of all business users making decisions big or small.”

“Thousands of organizations rely on Databricks Genie to deliver trusted answers on their enterprise data. Genie has the rich context for bridging the gap from data to insights. We are thrilled to partner with OpenAI to make it easy for all ChatGPT users to tap into Genie’s data intelligence.”

“Our customers have built a trusted foundation for enterprise data and context in Snowflake. With the Data agent in ChatGPT Work, employees can tap into that data and access controls to investigate business questions—while OpenAI models simultaneously bring intelligence to experiences like Snowflake CoCo and CoWork. Teams share a common, governed understanding of their business wherever they choose to work.”

“Our customers’ most important data lives in Atlas, updating in real time as their business runs—every order, every session, every event landing as it happens. Now the Data agent in ChatGPT Work can reach that data directly, so instead of waiting on a report built from yesterday’s numbers, anyone can ask a plain-language question and get an answer grounded in what’s happening right now.”

“Connecting Redis to the Data agent in ChatGPT Work lets agents go beyond querying data to acting on it in real time, with context and access controls our customers already trust. Teams spend less time wiring systems together and more time putting that data to work.”

“G2’s trusted B2B software data with the Data agent in ChatGPT Work helps teams understand buyer needs, competitive dynamics, and emerging trends. It brings insights from verified customer reviews, buyer intent signals, and market intelligence directly into the workflows where teams make decisions.”

“Connecting Tableau with ChatGPT Work brings trusted business semantics into a place employees already work, so the answers they get are grounded in the same data model their teams rely on. Users can easily transform insights into action by asking questions, exploring evidence, and publishing new views directly to Tableau using built-in design and analytics best practices.”

“Power BI helps people make better decisions with a trusted semantic layer used by hundreds of thousands of enterprises. With the Data agent in ChatGPT Work, users have a new option to create Power BI dashboards by simply describing their business questions, making it easier for more people to understand their data and act on it.”

“Our customers use Sigma for revenue forecasts and operational planning because the metrics, workbooks, and analysis behind them are governed and shared. Bringing that into ChatGPT Work means the fastest place to ask a question is now also the place where answers are grounded in semantics.”

“Analytics should work where your teams work. With the Data agent in ChatGPT Work, teams can build ThoughtSpot AI analytics in minutes using natural language. Business users get governed answers based on definitions they already trust, while developers ship working embedded analytics apps from a single prompt.”

“At NTT DATA, licensing costs, effort, and technical expertise have made it difficult to expand the use of dashboards across our organization. With the Data agent in ChatGPT Work, many non-engineers, particularly in sales and corporate functions, have been able to build and update their own dashboards using plain language.”

“At Thermo Fisher Scientific, we’re using the Data agent in ChatGPT Work with data from our existing environment to help our teams prepare more effectively and to identify opportunities with our supply base. We see potential for clearer analysis and better-informed decisions that can help us better serve customers.”

“At ServiceTitan, we used the Data agent in ChatGPT Work to build a dashboard showing that users of Atlas, our AI sidekick, launched campaigns at roughly three times the rate of nonusers. That finding is helping us simplify onboarding and help more customers adopt Atlas.”

“At Zipline, we’re using the Data agent in ChatGPT Work to explore our company data and build dashboards just by asking in natural language. In early testing, it surfaced profound findings that would have taken one of our best people hours of digging through the data to uncover.”

“At Empower, we used the Data agent in ChatGPT Work to combine organizational and AI usage data, uncover adoption trends, and do our own analysis. What impressed us was how easily it made sense of free-form survey responses, surfacing top use cases and insights that would otherwise have taken significant manual effort to uncover.”

“Our leadership team used the Data Agent in ChatGPT Work to better understand every part of our business—from analyzing the sales funnel and Intercom ticket volume to reviewing Brex card spend. Each leader could quickly build custom views and dig deeper into the trends that mattered most.”

“Within two days, different teams across marketing and finance were using the Data agent in ChatGPT Work to turn raw data into interactive dashboards tailored to each office. It’s made sophisticated reporting more accessible, helping us deliver clear, shareable insights to leaders across the firm.”

“At CookUnity, our Growth team used the Data agent in ChatGPT Work to build and refine a high-season conversion dashboard just by asking. We checked the results against internal reports and cut the time needed to plan our seasonal acquisition spending.”

“At Turing, our Business Operations team used the Data agent in ChatGPT Work to explore operational metrics and ask follow-up questions. It surfaced drivers behind changes, helping us reduce manual reporting and prioritize improvements to onboarding and customer satisfaction.”

“As an OpenAI evaluation partner, we’d already seen strong results from the Data agent in ChatGPT Work through our robust evaluations. Using it internally at micro1 gave us the chance to see that value firsthand. Our operations team built its own dashboards by asking questions in plain language, and in half an hour, rebuilt our performance tracking dashboards while catching errors in the original.”

“We use it to understand where demand is strongest across industries, accounts, and AI use cases, and how changes in our pipeline align with delivery capacity. Our business development and delivery leaders can edit, share, and refresh those scorecards to prioritize opportunities and match the right expertise to client needs.”