Looker Conversational Analytics is a nlp-query AI analytics tool. Conversational analytics is a chat-with-your-data feature powered by Gemini for Google Cloud. Grounded in the Looker semantic modeling layer, it lets users ask data-related questions in natural language for governed, trusted self-service BI. Distinct from generic Looker dashboards. It integrates with BigQuery, AlloyDB, Amazon Redshift, Snowflake, Databricks.
What is Looker Conversational Analytics?
Conversational analytics is a chat-with-your-data feature powered by Gemini for Google Cloud. Grounded in the Looker semantic modeling layer, it lets users ask data-related questions in natural language for governed, trusted self-service BI. Distinct from generic Looker dashboards.
What are the key features of Looker Conversational Analytics?
Query Explores in natural language, or chat with a data agent across up to five Explores. Create shareable data agents with custom context, instructions, and verified queries. Grounded in the LookML semantic modeling layer and powered by Gemini for Google Cloud. Embed Conversational Analytics in a website or application via iframe. Advanced Analytics translates natural language questions into Python for deeper analysis. Dashboard data agents can query a dashboard and its underlying models (Preview)
What data sources does Looker Conversational Analytics integrate with?
Looker Conversational Analytics integrates with BigQuery, AlloyDB, Amazon Redshift, Snowflake, Databricks, Gemini Enterprise.
What type of AI analytics tool is Looker Conversational Analytics?
Looker Conversational Analytics is a nlp-query AI analytics tool designed to help data teams and analysts work more efficiently with data.
Looker Conversational Analytics
Conversational analytics is a chat-with-your-data feature powered by Gemini for Google Cloud. Grounded in the Looker semantic modeling layer, it lets users ask data-related questions in natural language for governed, trusted self-service BI. Distinct from generic Looker dashboards.
About Looker Conversational Analytics
Conversational analytics is a chat-with-your-data feature powered by Gemini for Google Cloud. Grounded in the Looker semantic modeling layer, it lets users ask data-related questions in natural language for governed, trusted self-service BI. Distinct from generic Looker dashboards.
View DocumentationKey Features
- Query Explores in natural language, or chat with a data agent across up to five Explores
- Create shareable data agents with custom context, instructions, and verified queries
- Grounded in the LookML semantic modeling layer and powered by Gemini for Google Cloud
- Embed Conversational Analytics in a website or application via iframe
- Advanced Analytics translates natural language questions into Python for deeper analysis
- Dashboard data agents can query a dashboard and its underlying models (Preview)
Notable
Available in Looker (Google Cloud core) and Looker (original). Distinct from generic Looker dashboards. Conversational analytics is not yet included in FedRAMP High or FedRAMP Medium authorization boundaries.