Models

Metrics, dimensions, and definitions that stay trusted

One layer for the logic your business runs on. Manage your data dictionary, metrics, dimensions, cohorts, metadata, lineage, and recommendations in one place. Keep every query optimized, transparent, reusable, and consistent across the company.

HOW IT WORKS

One source of truth for your business

Manage the logic behind your data with reusable definitions, lineage, and performance built in.

A living dictionary for your business

Define what metrics are, and what they mean allowing anyone to build the reports they need with ease

AI now understand your metrics.

Reusable logic, not dashboard sprawl

Apply to all metrics without additional setup.

AI can slice and dice without limitation and with accuracy.

Performance built into the logic layer

Models are optimized so they may share a query or split the queries to maximize speed and minimize costs.

Better logic creates better queries.

See where every definition comes from

Understand where a metric, dimension, or cohort comes from, how it is calculated, and what it powers downstream.

Lineage graph from raw table to model to report to workflow.

More than models

Everything around the logic layer — from metadata and recommendations to lineage and query optimization.

Context on every object

Manage owners, tags, definitions, examples, freshness, and usage metadata.

Clean up repeated logic

Identify duplicated fields, repeated definitions, and overlapping business logic.

Flexible by design

Read from dynamic schemas and generate queries based on current model context.

Guide users to better answers

Move between visual building and code-level editing without losing context.