Case Study: PRS for Music achieves rapid, scalable royalty processing with Microsoft Power BI

PRS for Music - Customer Case Study

PRS for Music is the UK society that protects and collects royalties for more than 125,000 songwriters, composers and music publishers, tracking plays across Spotify, YouTube, Apple Music and other platforms so members can be paid. Faced with an explosion of usage data—moving from millions to trillions of reported plays—PRS for Music needed to capture, validate and analyse massive, global datasets quickly and reliably; they turned to Microsoft Power BI alongside Azure Data Lakes and Azure Data Warehouses to meet that challenge.

Using Azure for scalable data capture and validation and Microsoft Power BI to visualise and add value, PRS for Music can rapidly process and deliver accurate royalty statements to members. The solution lets PRS scale up or down to control costs and has dramatically improved speed and throughput—loading and matching a Spotify file dropped from 20 days to just 11 minutes—enabling faster, more precise payments and clearer reporting for members.

PRS for Music

Steven Peters

Head of Business Intelligence