01 April, 2025

Microsoft adds data agents to Fabric to help business users with analytics !










Microsoft is adding new data agents to Fabric, its cloud-based offering combining data warehousing, data science, data engineering, and data analytics services.

Its goal is to help business users find insights in enterprise data without the help of a business analyst.

Most enterprises either don’t have business analysts or their analysts are too busy to deal with all the demands for their services, said Arun Ulag, corporate vice president of Azure Data at Microsoft.



That’s why self-service analytics tools like those Microsoft is adding to Fabric are necessary, he said.


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The new data agents will be available across all Fabric services, including Synapse and PowerBI. They can be created from within any service and configured by providing them with access to the data the user wants to analyze.

The agents can access data held in Fabric’s OneLake storage, or data elsewhere using over 200 connectors, Ulag said.


Natural-language interaction

Triggered by natural-language queries, the agents can complete tasks such as retrieving data, reasoning, and creating data visualizations. Ulag said the agents should be able to deal with prompts such as, “Can you analyze all my customer survey questions, comments, focus on all the negative comments, categorize them into the top five buckets and give me examples?”

That kind of natural-language interaction is key, said Arnal Dayaratna, research vice president at IDC.

“The innovation here is that these data agents can provide conversational assistance to any enterprise knowledge worker that is interested in performing data-driven analytics,” he said. “This enables a radical democratization of the capability not only of data analysis, but also the skill of explaining the significance of data-centric insights.”


While such agents could be relevant for any enterprises, Forrester principal analyst Noel Yuhana sees them delivering the most significant value to large enterprises grappling with complex, multi-platform data environments.


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