Bridging the Gaps in Music Streaming with Data Pipelines

Digital music is data, and there is no question that data about music is the most valuable resource for all parties in the music business. From streaming services and other DSPs to musicians and record labels, the collection, analysis, and application of data lives at the center of all music industry operations in the digital ecosystem. In this paper, we provide an overview of the many facets of data management that we hope will assist music companies in creating a comprehensive data strategy.
3 min read
10/21/21
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Bridging the Gaps in Music Streaming with Data Pipelines

The music industry seems to have learned its lesson after waiting too long to accept MP3s and the digital revolution that was to come. The value of broadening investments in data strategies and operations is apparent throughout the industry. However, while virtually everyone in the music industry agrees that it is essential to have an effective data strategy in place, many businesses have yet to achieve this goal. It remains common for companies to be running disparate systems that do not communicate easily with each other, resulting in massive inefficiencies, incorrect data, and a reduced ability to extract the valuable information from the data being collected to apply the available insights and opportunities to their full advantage.

In the digital realm, music is data. And in the streaming ecosystem, data about music is the most valuable resource available to musicians, labels, streaming services, and other digital service providers (DSP). While this data can be approached from several different angles and classified into various categories, this paper will consider the following specific business data types.

1. Repertoire data includes information about songs, sound recordings and releases, data about songwriters, composers, and artists, and details about music publishers and copyright ownership. In the recorded music segment, it is sometimes also called «label copy.»

2. Transactional data covers music consumption and consumer behaviour, sales reporting and royalty distribution, and more. The plethora of data received from DSPs goes far beyond the numbers of downloads and streams.

3. Metadata is a specialized data set required to facilitate communication between repertoire and transactional data, which can be defined as data about the data.

Building efficient data pipelines for music companies typically requires the identification of correlations between the repertoire the company manages and its performance. To establish these connections, one must somehow integrate a range of incompatible systems to enable them to communicate with each other. Without this communication, the digital music supply chain cannot operate successfully.

In this paper, we focus on software engineering components involved in developing comprehensive and effective data platforms, in an effort to better equip music industry players with the knowledge they need to work more collaboratively and more efficiently and to choose the right tech partners to achieve their goals.

Contents

  • Introduction
  • Data Types and Data Management Approaches
  • Repertoire Delivery to Digital Music Supply Chain with DDEX
  • Building a Transactional Data Pipeline
  • Conclusion
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