Semantic layer with certified metrics, business glossary, star schema models, data quality monitoring, and retention policies — governance built into your analytics workflow.
Define unified star schema models with dimensions, measures, and relationships. One version of truth for all dashboards.
Certification workflow: Draft, In Review, Certified, Deprecated. Everyone uses the same approved metric definitions.
Define business terms with descriptions, categories, and synonyms. Everyone speaks the same data language.
Auto-profiling with completeness, cardinality, and null reports. Quality scoring and anomaly detection on every dataset.
Build star schema models that define dimensions, measures, hierarchies, and relationships. Once defined, every dashboard references the same governed model — no more conflicting metrics.
Define metrics with a certification workflow: Draft, In Review, Certified, Deprecated. Five metric types: Simple, Ratio, Derived, Cumulative, and Window. With time intelligence built in.
Auto-profiling generates completeness, cardinality, null rate, and statistical summaries for every column. Quality scoring helps you identify and fix data issues before they reach dashboards.
Click any metric and watch the column light up — across every transform, every dashboard, every automation. Schema-impact pre-flight tells you which downstream artifacts a change would break before you save.
Certified metrics ensure one definition of revenue, churn, LTV across all teams. No more spreadsheet debates.
Business glossary, retention policies, export approvals, and audit trails provide the documentation auditors need.
Semantic models give teams pre-built dimensions and measures to explore safely. They can slice and dice without breaking the data model.
Semantic layer, certified metrics, and quality monitoring — governance that empowers rather than restricts.
Free forever plan. No credit card needed.