Getting Started with Music Data Guide

One of the most frequently asked questions we get here at Music Tomorrow goes something along the lines of “I want to learn about the data in the music industry. Where do I begin?”

This section is designed to provide a comprehensive answer to that question and provide the most complete music data guide on the internet. Below you will find a collection of relevant articles and materials that would get you familiar with the world of music data — from the high-level overview of the music data structures down to the nitty-gritty of sector- and task-specific analytics.

That said, the music data industry is a multi-faceted and rapidly evolving landscape. Dozens of music tech startups and hundreds of music companies push the envelope on how data is collected, organized, presented, and used in a complex industry consistent of odd dozen independent yet interconnected verticals, from recording to publishing, live and beyond. In that sense, the following guide to music data is still a work in progress — we will continuously update this page to account for the latest developments in music data. If you want to make sure that you won’t miss out on the latest additions, we welcome you to follow our newsletter for a bi-weekly digest of the latest developments in music data.

Pre-requisites: Ideally, you’re already well versed in data analytics & tech, but you want to understand how the music industry works with data and where the gaps and opportunities might lie.If you’re not proficient with data science or data analysis yet and want to expand your expertise in these fields, we recommend you follow a dedicated training course on learning platforms like Coursera or Udemy. If your interest lies in AI & Machine Learning, we particularly recommend DeepLearning.AI as a learning resource.

Introduction: what is music data & how it works?

The Music Data Industry

Data-driven music marketing: How managers and marketing professionals use Data to promote new song releases

Data-driven talent scouting: How A&Rs work with data to discover high-potential artists

Data-driven booking & promotion: How the live industry works with data – even as pandemic

Royalty processing: How the music industry use data to collect and distribute master & publishing royalties

Data-driven Change: Gender & Equality in the Music Business

Music Data Standards and Related Databases