
Business Analytics
Utilization of AI in the debt collection process
Develop global know-how on the subject of data-driven debt collection. That is our goal in the Center of Analytics. Our team in Hamburg creates self-learning digital tools that evaluate and use data from the debt collection process. This, in turn, makes it easier to choose the right collection strategy.
Technologies and approaches change quickly – and we change with them. We constitute a new area; we create our own way of working and try out lots of different things.
The Center of Analytics combines the areas of Consulting, Training, Collaboration and Technology.
Consulting and Training
Within the scope of our consulting projects, we work together with EOS companies to look for potential areas where analytics can be used. We accompany our customers from the beginning of the project to the implementation of our models on site – both at home and abroad.
International analytics colleagues are brought up to speed step by step over a period of three days at our CoA Academy in Hamburg. A mandatory introduction session, to explain the „Data Science Workflow“, forms the basis of this training. This is followed by further modules in which the participants choose and vote on what they are interested in. Further sessions on topics such as agile working methods and lectures by an invited speaker round off the training.
We believe in self-paced learning – providing support to learn self-determinedly through coaching, sparring, an internship and access to our know-how.
Collaboration
We embody and support one of the EOS Heartbeats #shareyourknowledge. For us it is a matter of course to exchange ideas and best practices and to expand on them – be it through regular on-site or remote sessions, or subgroups for working groups.
Because people also make the difference when it comes to technically driven work content. For us, each and every one of them.
Technology
We want to understand which technologies are needed at EOS. Our in-house consultants take care of providing demand-oriented technology solutions – for example, in the form of high-performance environments for scalable data science or collaboration solutions such as analyst code repositories. In doing so, we rely on both in-house solutions and solutions based on cloud technologies.
"Triumph" in France
The ‚Triumph‘ project will link EOS France to the analytics platform – the first country outside of Germany to do so. Individual processes were selected and implemented for this purpose. With the start of the project, the interdisciplinary team with colleagues from EOS France, the Center of Analytics and the Western Europe management division is introducing agile working methods. „Triumph“ was the first project for junior consultant, Corinna: „It was a new and exciting challenge for us to work together across four locations.“

I've always wanted to combine data science and international work. And this is possible at EOS – so I didn't need long to reach my decision.Natalia, Consultant Business Analytics