November 17, 2022

The Matching Engine is an enterprise business system for Copyright Management organizations. It incorporates the key business functions of these organizations. It is a fully cloud native solution including modules to support Repertoire Management, Data Ingestion, Usage, Distribution and Membership Services.

It uses the latest cloud technologies including artificial intelligence (AI) and machine learning to provide intelligent automation, greater insights and instant access across your organisation. Built in connectors for key data sources and industry partners joins your internal systems with your stake holders.

Increased level of automation

Our solution makes extensive use of the automated workflow within the Matching Engine to automate many tasks that previously required manual intervention. This coupled with the data integration in the system means that tasks are automated and data linkage is easily visible.

Automating data input offers significant opportunities for CMOs to reduce costs. Our modern ingestion module allows for automatic ingestion, matching and posting of inbound work registrations in a variety of standard formats. This “straight through processing” is a key feature of the Matching Engine and is driven by our out-of-the-box integration and modern cloud technologies.

The solution drives down administrative costs through automation using workflows and automated data input through integration with 3^rd party data sources.

Reduced administrative costs

Improving data quality will lead to reduced administrative costs. Spanish Point has a track record in helping music organisations improve their data quality through a modern, data analysis driven approach.

A recent example of this has been in the work carried out for CISAC on ISWC data quality improvements.  Our experience and expertise at the technical and domain knowledge level will enable us to assist CMOs in this area.   

Data asset monetization

The Matching Engine includes sophisticate modern cloud-based data management tools. These include Cosmos DB, Data Bricks and Azure data lake. The high-volume high auto match rate can add significant value to your usage and works information. More data, better data and better data management and analysis tools will offer CMOs opportunities to drive value from their data.

Better metadata quality / Matching

The Matching Engine Modern Ingestion module will greatly improve the speed of ingestion of usage data. Multiple files can be processed at the same time within pre-set bounds to handle large numbers of usage files quickly and cost effectively. It supports ingestion of usage data in different formats from different sources with different levels of automation. Different sender specific folders can be configured, and each folder can be configured with different levels of automation and processing rules.

The continued rise in screaming has left Artists losing out on millions of unclaimed royalties due to errors in metadata . Music matching technology can help music rights organisations address this issue and ensure accuracy.

The Matching Engine uses configurable parameters to automate, identify and match data.. A foundation of Azure and Databricks technology provides the ability to process and transform data from various streaming platforms and in different formats at scale.