Conversational Analytics is a chat-with-your-data feature that is powered by Gemini for Google Cloud. Conversational Analytics empowers users to go beyond static dashboards and ask data-related questions in regular, natural (conversational) language, even with little or no expertise in business intelligence. 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 [Preview]: 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
Understand the compliance capabilities of Gemini in Looker features
Google Cloud Preview features are generally not in scope for formal compliance certification support and are not recommended for use with regulated workloads or sensitive data unless otherwise stated.
Conversational Analytics is not yet included in FedRAMP High or FedRAMP Medium authorization boundaries. Prior to enabling the Gemini in Looker setting for your Looker instance, discuss with your authorizing body whether Gemini for Google Cloud's compliance offerings meet the needs of your organization.
For Looker (Google Cloud core) instances, each Assured Workloads control package that becomes available will add Gemini in Looker features as default offerings as that package's change requirements and processes are met. Conversational Analytics in Looker respects the compliance capabilities of the associated Looker (Google Cloud core) instance, with the following exception:
- Support for Data Residency (DRZ), specifically DRZ-in-use and DRZ-in-transit is not available. For customers outside the EU and US jurisdictions, some data in transit may be processed by a global service. All data at rest related to Conversational Analytics remains in the Looker instance itself, which is tightly bound to a single region.
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.