Different reports show varying values for the same metric, causing confusion and mistrust in analytics.
Teams lack visibility into which tables, views, and ETL jobs feed dashboards and reports.
Investigating issues consumes days of developer time and often involves long email chains.
Fixing one problem risks breaking another report downstream.
Connect Dataedo to your databases, warehouse, and supported BI tools (Power BI, Tableau) to build a central catalog of tables, views, models, and reports.
Use Automatic Data Lineage and column-level lineage to see how data moves from source tables, through ETL logic, into specific dashboards and KPIs.
Document business definitions, calculation rules, and owners directly on metrics, tables, and columns. Publish them to the Dataedo Portal for everyone to see.
Use lineage diagrams and impact analysis to identify all reports and objects that depend on a column or table before you modify it.
Trace incorrect KPIs back to their source in minutes instead of days.
Understand downstream impact before changing structures or ETL logic.
Business and technical teams finally agree on what each report shows and how it is built.
Define metrics, KPIs, and business terms in plain language so all teams understand exactly what each report represents.
Centralize all tables, views, dashboards, and reports in one searchable catalog for faster discovery and validation.
Visualize end-to-end data flows from source tables through ETL to dashboards, enabling quick root-cause analysis and impact assessment.
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Explore Dataedo through a preconfigured data catalog with sample data, try it with your own data during a 14-day free trial, or book a demo.