AI agents for Google BigQuery
Teams on Google Cloud keep their analytics data in BigQuery. Cogito AI's connector brings it into one Enterprise Data Model with the rest of your business data, so agents can answer questions that span the warehouse and the documents around it.
Connector
Google BigQuery
- Connects as
- Data warehouse
- Packaged agents
- 4 across 3 teams
What Cogito AI does with your Google BigQuery data
- 01
Analytics in plain language
Account teams and marketers ask about trends in BigQuery data in their own words, and get an answer that also draws on the CRM records and documents behind it.
- 02
Answers that show their sources
Every answer cites the Google BigQuery records and documents it used, so anyone can check the source behind a recommendation.
- 03
Within your permissions
Agents only surface what each user is entitled to see in Google BigQuery, and every agent action is logged for audit.
- 04
Kept current
Incremental sync keeps the Enterprise Data Model up to date as Google BigQuery changes, so agents work from current information.
Agents that work from Google BigQuery
Packaged agents that draw on your data warehouse, grouped by team. Each one links to its team's solution.
Sales: Revenue Intelligence
- Customer 360 DashboardSee customer relationship health in one dashboard. Build your own dashboards, share them with your team and use them to run your sales process.More about this agent
- Upsell/Cross-sell MaximizerFind upsell and cross-sell opportunities your team may have missed, and turn them into new pipeline.More about this agent
Operations: Operational Intelligence
Marketing: Marketing Intelligence
Ask questions like these
Agents answer across Google BigQuery and your other connected systems, and show the sources.
- Which accounts use the core platform but not the analytics add-on?
- How has product adoption changed since the last release?
- Which customers have grown their spend year over year?
How it works
- 1
Connect Google BigQuery
Set up the connector with the setup wizard, and follow each sync in job monitoring.
- 2
Build your Enterprise Data Model
Key terms are extracted as Google BigQuery data comes in and mapped with your other connected systems.
- 3
Deploy agents
Start with the packaged agents below, or build custom agents for your own workflows.
- 4
Check every answer
Citations show where each answer came from, and the audit trail records every agent action.
Put your Google BigQuery data to work
Questions about connecting Google BigQuery or your other systems? Send us a note and we'll get back to you by email.