What Is a Data Agent?
A data agent is an AI-powered tool that allows users to interact with data through conversational queries rather than traditional visual reports. This innovation aims to reduce the time analysts spend on creating visualizations and make insights more accessible to business users. By leveraging existing data models, data agents facilitate a more direct and efficient way for stakeholders to obtain answers to their questions.
- ▪A data agent enables users to ask questions and receive answers in text or table format instead of visual reports.
- ▪The tool is designed to reduce the time analysts spend on building visualizations and make insights more accessible to business users.
- ▪Data agents can integrate with existing AI-powered tools, allowing users to access insights without needing to learn complex BI tools.
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Agentic AI What Is a Data Agent? A simple explanation of what a data agent is and how it works Marina Tosic May 26, 2026 5 min read Share Photo by Kelly Sikkema on Unsplash Working at Microsoft, I have the opportunity to try new AI-powered analytical tools, including Microsoft Fabric’s data agent. That’s why I want to share what I’ve learned, explain what a data agent is, and highlight the difference between it and a “standard” AI agent. So, without further ado, here is my definition of a data agent: A data agent is a report you can talk to. For those of us in analytics, this means two long-held wishes might finally become a reality: #1: Analysts spend way less time building visualisations. #2: Self-service insights come closer to business users.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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