Reducing churn through advanced data analysis
DPG Media
Data & AI for the media sector
Content only has value when it reaches the right audience.
The volume of content is growing, while audience attention is becoming increasingly scarce. Media organisations need to keep adapting to changing media habits. Data and AI help them match content more closely to their audiences and understand how it performs.
Challenges,
Not every publication reaches its intended audience. The challenge is to understand what works, so time and attention can go towards content that genuinely adds value. This creates more room for considered editorial decisions.
How we support you,
We help media organisations understand how their content performs and support editorial teams with AI solutions for recurring tasks. This leaves more time for journalism and creative work, while helping content better reflect audience interests. The right solution always depends on the challenge and the organisation.
Data Science Lab at a glance
DSL in numbers,
40
Data experts
10+
Years of experience
200+
Projects completed
8,7
Client satisfaction
Get in touch with our experts,
Want to know what we can do for your organisation?
Younes Seghrouchni
Managing Consultant GenAI & Data StrategyE-mail info@datasciencelab.nl
Claudia Sulsters
Managing Consultant Data EngineeringE-mail info@datasciencelab.nl
Carmen Wolvius
Managing Consultant Data Science & AIE-mail info@datasciencelab.nl
Where we do that,
Latest blog posts,
Read our latest insights here.
Three lessons from our AI projects
Over two years, we supported dozens of AI projects, from initial exploration to a model that runs every night. Some went exactly as planned; others…
From pilot to production: why most AI projects stall
Many organisations have now run an AI pilot. The model works, the demo gets applause, and then nothing else happens. In our experience, most projects…
Responsible AI: from principles to practice
Artificial Intelligence is developing rapidly. New models appear almost every week, and more and more organisations are experimenting with AI. At the…
The organisations that do this,
Frequently asked questions,
AI can support editorial teams with recurring tasks, such as summarising information or analysing large volumes of content. This leaves more time for journalism and creative work.
AI helps reveal patterns in reading, viewing and listening behaviour. This gives editorial teams a better understanding of what appeals to their audiences and how they can improve their content.
AI supports the work of editorial teams, but it does not take over journalistic responsibility. People remain responsible for the content, fact-checking and editorial judgement. Quality therefore remains the starting point.
AI delivers value when editorial teams can work more efficiently and better understand their audience’s needs. This creates more room for quality content and a stronger relationship with the audience.
AI only has value when editorial teams trust the tools and can use them easily. That is why we develop solutions that fit existing workflows and the way editorial teams work together every day.