The catalogue had business value, but years of inconsistent formats, fragmented attributes and manual lookup made it difficult for teams to use confidently.
The challenge
Catalogue data often looks structured until teams need to search across generations, variants, naming conventions and incomplete attributes. The archive needed a model that could preserve source evidence while making records easier to compare.
The work also needed a validation process. Without review rules, structured data can create false confidence and push errors into downstream systems.
The approach
SBL treated the catalogue as a data product. Source records were profiled, attributes were normalized, lookup paths were mapped and validation routines were created for ambiguous or incomplete records.
The resulting structure gave teams a searchable layer without losing the original record context needed for audit, correction and future enrichment.
Profile
Identify source formats, attributes, gaps and repeated lookup patterns.
Structure
Normalize catalogue fields and preserve source evidence for review.
Validate
Create quality checks and exception paths for uncertain records.
The result
The catalogue moved from manual lookup to reusable intelligence. Teams could search, compare and validate product records with clearer evidence and fewer repeated handling steps.
- Inconsistent source material was organized into a governed record model.
- Search and comparison became easier for operations teams.
- Validation paths helped teams manage ambiguous catalogue entries.
- The archive became a stronger foundation for downstream product and service workflows.