Digital & Broadcast Media

Data-driven content on air in three...two...one...


Broadcast and digital media has reached levels of dynamism and schedule fluidity previously unmatched. TV content has become faster and richer; on-demand and offline platforms offer new distribution opportunities; viewers’ habits have changed too, with more and more content consumed on the go.

From production to distribution, new commercial opportunities await those equipped to face the challenges ahead.


Having worked with national and international publishers and broadcasters, Data Language has a deep understanding of the domain and a proven track record of successful implementation of technical strategy.

  • Programmes metadata management

  • Data-driven optimisation of scheduling and broadcasting

  • Users analytics for content recommendation

  • Data for advertising & marketing decision support


User experience

When coming with rich metadata models, the browsing of programmes can become a deeply engaging, immersive user experience.


Powerful insights

Observation and analysis of users’ behavior can lead to extremely powerful insights, as well as effective content recommendation systems.



The European Broadcasting Union (EBU) is the world's leading alliance of public service media: aligning your data to a standardised framework can facilitate collaboration and boost reusability of data.

There is so much data permeating the broadcasting sector: production data, credits, rights management, press data, physical supports, packaging and distribution, EPG, linear and on-demand transmission, etc. The ability to handle this wealth of data is just the beginning: it is paramount to be able to understand it as part of an holistic knowledge framework, and ultimately leverage it to deliver decision support to all practices within the organisation.


Tailoring content is not easy

How can I offer tailored content and immersive experience to the audience through my on-demand proposition


Know your viewers & your content

Deriving the notion of “taste” or “preference” from users’ habits is a key ingredient of the mix: this allows us to cluster viewers in groups that have similar (and predictable) behaviours. At the same time, the ability to relate content to tastes is a function of the metadata encoding that describes programmes.

When insights on both domains are available in a common reference framework, then powerful experiences can be built

What they say about us

"Data Language have great experience in information architecture for broadcasters, which is quite rare. Their enthusiasm has rubbed off on my team, which is a real bonus"
Oliver Bartlett
Head of Recommendations and Metadata, Sky TV
"Data Language are rock solid people who can manage the whole project from end-to-end. They understand the dynamics of publishing... unparallelled in my humble opinion."
Todd Carter
CEO, Tagasauris

Success stories


Machine Learning for the newsroom

Our long term relationship with the BBC is testament to the faith the BBC have in Data Language. In 2017 we worked with the BBC on a machine learning service to automate the tagging of news articles

View case study


Add one Semantic CMS, stir in one hyperlocal New York media brand.

W42ST is a hyper-local media brand and magazine. Every month, W42ST magazine connects the people who live, work in, and visit Hell's Kitchen, New York, with each other, and the most exciting, authentic experiences possible.

View case study

Make an enquiry

If you would like to know more about Data Language or have a project you would like to discuss with us, then please get in touch.

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