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Know where every number came from

Every field documented, end-to-end lineage, and instant answers to 'where did this figure come from?' Data dictionary, lineage tracing, and impact analysis across the platform.

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Know where every dataset lives, where it came from, and who uses it.

Full data dictionary, column-level lineage, and impact analysis. Trace any figure from source to report.

Catalog Capabilities

Everything you need to govern and understand your data

Five capabilities that replace spreadsheets, tribal knowledge, and stale documentation with a living, queryable catalog.

Auto-cataloging

Zero manual documentation. Every dataset, field, and pipeline is cataloged the moment it is created or modified — including schema, types, source systems, and refresh schedules.

Column-level lineage

Trace individual field values from source to destination. See every transformation, join, and derivation a specific column passes through — not just table-level dependencies.

Business glossary

Investment domain definitions for every field. Terms like "nav_per_share," "gross_exposure," and "realized_pnl" are defined in business language your analysts actually understand.

Impact analysis

Blast radius before changes. See every downstream pipeline, quality rule, warehouse view, dashboard, and API consumer affected before you rename a column or retire a source.

Ownership & freshness

Every table has an assigned owner accountable for data quality. Freshness indicators show when each dataset was last updated, so your team knows what is current and who to contact when something looks wrong.

Explore the data catalog

Trace any figure back to its source — field-level lineage, impact analysis, and full documentation.

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Connect every source, normalize every schema, and deliver governed investment data without custom ETL maintenance.

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The catalog your data team actually uses

Lineage graph showing 5 nodes from source to report