Connect your own BigQuery project and Verity queries your datasets in place, without copying data. It scans the tables you choose and proposes a semantic layer: the entities, metrics, and dimensions your team can then ask about.
BigQuery can also be a destination: export segments built in Verity back to a table in your own project.
What you get
Query in place
Verity runs queries against your datasets, so there is no copy to keep in sync.
Semantic discovery
Verity proposes metrics and dimensions from your tables. You review and approve them.
Segment export
Write segments back to your own BigQuery project.
Ask Verity
What are the main metrics in our orders table, and how did they move last month?
Which customer segments grew fastest this quarter?
Book a demo and we connect your sources together, so you see your own numbers in the semantic layer on day one.