In an era of online streaming and the increase in data volume, Copyright Management Organizations (CMOs) are struggling to keep up. A new appproach is needed to deal with the ever increase in data volumes, in order to efficiently pay song writers and artists.
Spanish Point Technologies’ Matching Engine is a SaaS solution that is helping CMOs cope with large data volumes. It helps identify songs of performance records consumed on digital platforms, so CMOs can achieve better results in the distribution of royalties when compared to existing systems.
To cope with the increased number of transactions per month, as well as the revenue per transaction, many CMOs have had to move from SQL Server to a Software as a Service solutions (SaaS) in order to optimize the recent explosion in data volumes associated with streaming services such as Spotify or YouTube.
The Matching Engine solution is a more modern and adaptable system, less expensive to maintain, and highly scalable. It is a SaaS solution that runs in the cloud helping CMOs, publishers and similar organizations to handle the exponential growth of data volumes in the music industry. The high-performance engine of the Matching Engine supports organisations addressing metadata errors and ensure music royalties are tracked with accuracy.
The company favours an agile approach to software development, ensuring customers like CMOs are involved and informed every step of the way; keeping the customer experience front of mind in order to create bespoke solutions that are both user-friendly and innovative.
Spanish Point began developing the Matching Engine solution in February, 2012, choosing only Microsoft Azure based components such as Azure Search, Azure Databricks and Spark to configure a sophisticated cloud based platform that helps CMOs deal with their metadata issues while adapting to the new era of online streaming.