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CaConversational Analytics
Conversational Analytics & data agents
Let people ask questions of their data in plain language and get answers they can trust, with data agents grounded in your BigQuery models.
Talk to us about this
Ask your data anything.
Most business questions die in a ticket queue. We build data agents on Google Cloud’s Conversational Analytics so teams can ask in plain language and get governed answers back. The work is mostly in the context: clean semantic definitions, the right tables, example questions and clear limits on what the agent should answer.
What we deliver
01
Question discovery
Collect the real questions teams ask and the metrics that matter to them.
02
Data agent setup
Configure Conversational Analytics data agents on top of BigQuery.
03
Semantic context
Business definitions, joins and example queries that keep answers consistent.
04
Embedding
Bring data agents into the tools people already use, including Gemini Enterprise and custom apps.
05
Answer quality
Golden-question test sets and review loops to measure accuracy over time.
06
Guardrails
Row and column-level access and scoped datasets so the agent only sees what it should.
Google Cloud stack
The tools we build with
- CaConversational Analytics
- BqBigQuery
- LkLooker
- GmGemini
- GeGemini Enterprise
Other services
Let’s build together.
Start with a free 45-minute AI working session. Bring a problem; leave with a sketch of the solution.
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