Background
A diversified enterprise group had accumulated data tables, metrics, reports and analytical applications across multiple platforms. Business users needed to search several entry points and could not easily understand meaning, origin or ownership.
Data Scale & Implementation Scope
The case does not disclose customer data volumes or confidential system details.
- A defined user group, data scope and access boundary
- A focused set of search, knowledge or analysis workflows
- Acceptance tests for source traceability, permissions and task completion
Business Challenges
- Catalogs, metrics and reports were distributed across platforms without one discovery entry point.
- Technical names and fields were difficult for business users to understand.
- Ownership, definitions and lineage were incomplete, limiting reuse.
- The portal had to preserve existing organizational access boundaries.
Implementation Solution
Datazaar unified existing catalogs, metrics and reporting assets, added business terminology, ownership and usage guidance, and connected the original access-control system. The portal provides search, category browsing, asset detail and lineage views.
Delivery Path
- 01
Inventory existing data tables, metrics, reports and analytical applications.
- 02
Normalize asset metadata, business terms and classification tags.
- 03
Connect ownership, access policies and lineage relationships.
- 04
Build business-oriented search and asset-detail experiences.
- 05
Improve descriptions and operating processes through user feedback.
Outcomes
The implementation created one data-asset entry point and reduced repeated cross-platform searching.
Business meaning, ownership, permissions and lineage are presented together to support reuse and governance operations.
No unverified efficiency percentages or cost-reduction figures are presented.
Measurement Definitions
- Retrieval coverage is measured against an agreed question and source set.
- Permission accuracy is verified with defined roles and restricted content.
- Task completion is reviewed with named users and documented feedback.
Limitations
- Outcomes depend on source quality, access completeness and operating processes.
- No confidential customer data or unverified quantitative improvements are disclosed.