Data Catalog Implementation for an Organization Where Nobody Could Find Anything
The data existed. Finding it required asking three people who had been there long enough to remember.
A mature enterprise with substantial data assets accumulated over years across multiple teams, multiple platforms, and multiple naming conventions. The data existed. Discovering it required tribal knowledge held by long-tenured employees, and the tribal knowledge was concentrated enough that those employees' availability was a structural constraint on every analytical project.
New analysts spent significant time learning what was where rather than producing analysis. Cross-team analytical projects stalled in the discovery phase. Long-tenured employees were perpetually interrupted to answer "where is the data for X" questions, which consumed their capacity and didn't scale. The leadership had concluded that institutional knowledge of the data layer needed to become explicit organizational knowledge rather than continuing to live in the heads of a small group.
A data catalog implementation covering the organization's primary data platforms.
The catalog tool — DataHub in this case — was deployed and integrated with the organization's data sources. Metadata ingestion connectors were configured for each platform so that the catalog discovered datasets, schemas, and lineage automatically rather than depending on manual entry.
A metadata enrichment effort captured the institutional knowledge that the automated discovery couldn't surface. Dataset descriptions, business definitions, ownership assignments, quality information, and the historical context that made certain datasets more or less reliable than they appeared. The long-tenured employees who held this knowledge contributed to the enrichment in structured sessions; the result was that their knowledge became searchable rather than queryable only through interruption.
Search and discovery surfaces were configured for the access patterns analysts actually had. Free-text search, faceted filtering by domain and platform, browse-by-team views, and lineage navigation. Analysts could find datasets through the path that matched how they were thinking about their question.
Access management was integrated with the catalog. Discovering a dataset and requesting access to it became a single workflow rather than a multi-step process across separate systems.
A governance model was established for catalog content. Owners were responsible for keeping their dataset metadata current. Stewards across domains held cross-domain metadata quality. The catalog became a living artifact rather than a one-time documentation effort that aged immediately.
Time to discover data dropped substantially across analyst onboarding and across cross-team projects. The interruption load on long-tenured employees decreased noticeably. Cross-team projects that had previously stalled in discovery moved through that phase quickly. The institutional knowledge became organizational knowledge in the way the leadership had needed.