Case Study: Music Royalties Company achieves improved match accuracy and increased revenue with Data Ladder's DataMatch Enterprise

Software improves match accuracy with focus on revenue

Music Royalties Company, a leading music license royalties firm that manages performance rights for top Billboard artists, struggled to reconcile millions of playlists from platforms like Pandora, Spotify and thousands of radio stations. Data arrived in many formats with abbreviations and punctuation errors, and the company was using Excel — a slow, error-prone process that put accurate royalty payments at risk. To address this, they turned to Data Ladder and its DataMatch Enterprise solution.

Data Ladder implemented DataMatch Enterprise™ with data import, cleansing/standardization, fuzzy matching and customized training, running the process monthly to link and deduplicate records. The solution saved an enormous amount of time, improved match accuracy, supported migration into new financial and HR systems, and delivered measurable gains — Data Ladder reports DataMatch Enterprise finds roughly 5–12% more matches than leading competitors — producing an immediate revenue-impacting improvement for the client.

Music Royalties Company