Collibra in Practice: Governing Data at Scale
What do you like best about the product?
Centralized data governance: everything is consolidated in one place, which makes search, documentation, and traceability much easier.
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
Business glossary: extremely useful to align technical and business teams around a common language.
Customizable workflows: practical for managing validation steps and governance processes.
Integration with other tools (ETL, BI, technical catalogs, etc.): helps build a real ecosystem around data.
Customizable Metamodal: relationships between objects (datasets, reports, rules, policies, etc.): provides good visibility into the data value chain
What do you dislike about the product?
Apparent complexity in onboarding: significant improvements have been made with the new interface (the previous one was clearly outdated)
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
Configuration: extremely powerful, but can quickly become technical and somewhat rigid without expertise.
What problems is the product solving and how is that benefiting you?
I see Collibra as the enterprise-wide mega data catalog that brings together all glossaries and dictionaries, with clearly defined roles and responsibilities, and full integration of the data quality layer.