Conversational Analytics is a chat-with-your-data feature that is powered by Gemini for Google Cloud. Conversational Analytics empowers users with no expertise in business intelligence to go beyond static dashboards and ask data-related questions in regular, natural (conversational) language. Conversational Analytics is available in both Looker (Google Cloud core) instances and in Looker (original) instances.
Learn how and when Gemini for Google Cloud uses your data.
Key features
Conversational Analytics includes the following key features:
- Talk to your data: Converse in natural language with Looker Explore data or with a custom data agent within a Looker (original) instance or a Looker (Google Cloud core) instance. You can connect to up to five Explores.
- 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
- Converse with Looker data
- Create and manage data agents
- Best practices for configuring Conversational Analytics in Looker
- 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.