ChatBI overview

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DataWorks ChatBI uses natural language processing and intelligent analysis to automate the full data analysis pipeline—from understanding your question and extracting data to generating code and producing visual reports—all through a conversational interface that significantly improves data analysis efficiency and decision accuracy.

Features

ChatBI acts as your expert data analyst. In a conversational session, you can ask questions about your data based on a target dataset. ChatBI then automatically performs a series of intelligent operations, including understanding your question, identifying the correct data table, generating and running query code, creating visualizations, and summarizing key findings, helping you quickly complete routine analysis tasks and receive intuitive reports that combine text and charts.

Billing

This feature is in invitation-only preview and is currently free to use.

Important

Starting April 15, 2026, DataWorks ChatBI will transition to a paid model. For detailed pricing plans, see Data Agent pricing.

Access points

Log in to Alibaba Cloud and open the ChatBI Intelligent Data Insights page. Select the access point that matches the region of your DataWorks resources, such as your dataset and serverless resource group.

China (Hangzhou) ChatBI entry point

China (Shanghai) ChatBI entry point

China (Shenzhen) ChatBI entry point

China (Hong Kong) ChatBI entry point

China (Chengdu) ChatBI entry point

China (Beijing) ChatBI entry point

China (Zhangjiakou) ChatBI entry point

Indonesia (Jakarta) ChatBI entry point

Get started

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Note

To use ChatBI, you must have a serverless resource group in the corresponding region.

  1. Create a dataset: Before you start a session in ChatBI, you must define the scope of your analysis by creating a dataset. A dataset can be a data table from a target data source or a local file.

  2. Start a ChatBI session: You can ask questions in the session window. Based on your questions, ChatBI automatically performs a series of intelligent operations, including identifying the target data table, querying the data, generating and running code, creating visualizations, and summarizing findings.

  3. (Optional) Create a knowledge base: If session results are unsatisfactory, you can configure question templates, glossary terms, and business logic. This configuration helps the model better understand your questions and business needs and generate more accurate query code.

  4. (Optional) Share reports: You can generate an HTML link for reports produced by ChatBI or export them as PDF files to share with other team members and stakeholders.