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We use digital solutions to make sense of the vast amount of data music rights holders and their partners are faced with these days.
Over the past decade, the music industry has seen an economic revival, most notably through the rise of digital streaming services, which now make up most of the music consumption worldwide.
Global recorded music revenue
Paid subscription accounts
Of revenue comes from streaming
The steady growth and digitalisation of the music business as a whole has produced an overwhelming and heterogeneous amount of data, which makes it increasingly difficult to understand how music is being used. Yet, it offers great chances.
We shed light on the matter with Data Science by aggregating, standardising and analysing data from different sources to provide meaningful insights - whether this relates to royalty statements, actual stream counts or auditing procedures.
Data should be accessible and readable for better informed decisions.
The utilisation of rights should largely be determined by their owners.
Music is a valuable asset everyone along the value chain should participate in.
With Takkt we provide a digital toolset to face an increasingly digitalised industry. Each application is interlocked and designed to either optimise processes or create additional value.
Control is an automated auditing software built on the latest Data Science and Machine Learning technology. The core principle is to examine settlement data according to individual contractual terms, making use of forensic algorithms. Control can be used for full-fledged audits or as an instrument for regular controlling purposes.
Complete and uniquely identifiable record of an artist's repertoire.
Centralised management of synch, price, and compilation requests.
Secure file repository of contracts and settlement data.
Takkt grew out of a technology firm specialised in high-tech innovation. Over the past 10 years, we have helped large corporates to embrace disruptive technologies and develop cutting-edge, digital products. Based on this activity, we have built up extensive know-how in the field of software engineering, machine learning, and data science.
With longstanding relationships in the music business, we have observed the increasing power and powerlessness of a changing industry first-hand. It is for that reason we decided to take up the challenge and bring light into the darkness.
Our team is made up of Data Scientists, Developers, Designers, Music Experts — and each of us plays an instrument.
Tell us a bit about who you are and what challenge you are facing and we will get back to you asap.