Conversational Analytics is a chat with your data feature powered by Gemini for Google Cloud. Conversational Analytics empowers users with no expertise in business intelligence to ask data-related questions in regular, natural (conversational) language, and go beyond static dashboards. Conversational Analytics is available in Looker Studio as part of a Looker Studio Pro subscription.
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Key features
Conversational Analytics includes the following key features:
- Talk to your data: Converse in natural language with supported data sources or with a custom data agent. You can also use the Looker connector to chat with Looker Explore data.
- Create and manage data agents: With data agents, you can customize the AI-powered data querying agent by providing context and instructions that are specific to your data, which helps Conversational Analytics generate more accurate and contextually relevant responses. You can also share your data agents with other users so that they can ask questions with the same context.
- Enable advanced analytics with the Code Interpreter: The Code Interpreter within Conversational Analytics translates your natural language questions into Python code and executes that code. Compared to standard SQL-based queries, the Code Interpreter's use of Python enables more complex analysis and visualizations.
List of documentation
- Set up Conversational Analytics in Looker Studio
- Converse with Looker Studio data
- Create and manage data agents
- Enable and use the Code Interpreter
Provide feedback
You can provide feedback to Google about individual responses in Conversational Analytics by selecting one of the following options:
- thumb_up Good response: Indicate that the response was helpful.
- thumb_down Bad response: Indicate that the response was not helpful.