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
When coming with rich metadata models, the browsing of programmes can become a deeply engaging, immersive user experience.
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.
How can I offer tailored content and immersive experience to the audience through my on-demand proposition
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
"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"
"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."
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 articlesView case study
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
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.