Define Relationships. Build a Real Model.

Without a clear structure, reports are hard to scale, share, or explain.

Model your data like a system – not a pile of tables: Build marts from connectors to ad platforms, warehouse tables, custom SQL or other data marts.

Define join keys and relationships once. Create a shared logic layer that powers exploration and automation.

Building reports is slow and error-prone when every join or filter is redefined from scratch.

Connect existing data marts and define relationships once – no need to restructure your data warehouse: set primary keys and join paths visually.

Blend warehouse tables, SQL results, and connector-based data.

Enable reusable, trusted logic that scales across dashboards, Sheets, and AI tools.

Business users rely on analysts for every metric – creating constant bottlenecks.

Create a reporting framework powered by your knowledge and context: business users generate queries via Conversational UI.

You define the model once with relationships, joins, and paths. Everyone works faster – without writing SQL or breaking definitions.

Inconsistent joins, outdated schemas, and accidental changes break trust in data.

Model your data with built-in consistency and monitoring: control access to specific joins and marts.

Monitor changes in source schemas and reduce downtime.

Keep metrics accurate and dashboards reliable, even as things change underneath.