A Leading Music Publishing Company Harnesses Metadata to Streamline Music Publishing Royalty Matching and Payments
The authoritative metadata system across multiple global sites improves artist/royalty reconciliation.
The client is one of the leading music publishing companies globally. With a catalog of more than three million songs, they are responsible for ensuring artists receive payment when their compositions are used commercially.
For many years, the music publishing company had been running at a high financial and reputation risk due to data inaccuracy and insufficiency caused by data being distributed in too many different internal systems. Hence, they needed one comprehensive and authoritative system across their business. Digital consumption of artist compositions from various sources aggravated the challenge of tracking composition usage even further, making it nearly impossible to reconcile royalties to artists accurately.
Ness designed a new system to ingest high amounts of diverse data from different external data sources like Apple, Spotify, TikTok, and YouTube, creating a unified model for the business that is an authoritative source of recording metadata. Ness led the initial assessment of existing data systems to identify gaps in the existing data model and to determine external data sources from which data must be ingested.
The new system improves the accuracy of matching artist compositions, enabling accurate royalty tracking. It also allows precise artist composition search capabilities and improves artist loyalty.
In the last 12 months, metadata volume increased exponentially from 500,000 records to more than 100 million records—through ingestion from just one external data source (Apple). Currently, this new system is being integrated with various business applications, and its impact on royalty payments can be assessed by the end of 2022.