[KongchangAI]
ConceptReport031

Data Analysis Agent

An AI agent system specialized for data analysis scenarios. It automates data querying, metric computation, chart generation, and report writing, with built-in approval mechanisms and traceability features designed for deployment in production environments.

Timeline (last 90 days)

Oct 8

Data analysis Agents require understanding of structured data, precise generation of SQL or code, and consistency in multi-step reasoning.

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Oct 8

A SQL statement that runs but returns incorrect results is more harmful than one that throws an error, because it will be silently accepted by the system.

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Sep 19

The Agent retrieves relevant fields from a built-in Schema via RAG (Retrieval-Augmented Generation), and only Schemas with a similarity score greater than 0.7 are passed to the model as context.

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Sep 19

If the Schema match fails, the validation step will block the request, and the Agent will not fabricate data or invent non-existent columns.

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Sep 19

The Agent supports saving daily data flows and executing them on a scheduled basis, turning one-time analyses into reusable automated workflows.

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Sep 19

The project has been selected for a relevant list of top 100 projects.

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Sep 19

The system has more than 40 built-in chart types and can automatically determine which visualization method to use.

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Sep 19

The Agent supports importing from multiple data sources, including company base databases, Google Sheets, and Feishu multidimensional tables.

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All Facts (8)

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