200,000 media assets, four legacy taxonomies, one migration
Unified taxonomy with 97% automated classification accuracy on new ingests and ~40% improvement in content discoverability.
Client Context & Operational Challenge
A media company with a catalog of 200,000+ assets spanning four decades found its legacy metadata taxonomy could not support modern discovery, recommendation, and licensing workflows. Inconsistent tagging, missing descriptors, and incompatible classification systems across acquired libraries made content monetization increasingly difficult.
Execution & Governance Model
Designed a unified metadata taxonomy through stakeholder workshops with editorial, licensing, and engineering teams. Mapped all legacy classifications into the new schema with automated migration rules for 85% of records and human review queues for edge cases. Deployed a phased migration — first enriching new content under the updated taxonomy, then retroactively re-tagging archival assets in priority order based on licensing revenue potential.
Scale & Velocity Constraints
- 200,000+ assets across video, audio, image, and text formats
- Four legacy classification systems from acquired companies requiring harmonization
- Metadata standards differing by content type, era, and original cataloging team
- Active licensing and distribution workflows that depended on existing metadata
- Requirement for backwards-compatible taxonomy migration without disrupting operations
What Was Delivered
Asset Outputs & Deliverables
- Migrated 200,000+ assets to unified taxonomy with 97% automated classification accuracy on new ingests. Content discoverability metrics improved by an estimated 40% based on internal search relevance testing. Licensing workflow processing time reduced significantly due to consistent rights metadata. Taxonomy adopted as the organizational standard for all future content acquisitions.
Operational Footprint
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