Cases & Solutions
Welcome to our cases and solutions section. In this section, we share some of the best work with our customers. Next to these cases, we introduce our solutions. We offer these solutions as templates so that you jump start your project and use the first version of your app in a matter of days. You find the cases and solutions you are looking for by using the filter below.
Invoice payment predictions at Van Oord
In the rapidly evolving digital landscape, businesses are increasingly turning to advanced technologies to enhance their operations. Van Oord, a leading company in marine engineering and dredging, sought to leverage these innovations to improve their accounting processes. The goal was not only to gain a deeper understanding of these new technologies but also to address a real business challenge.
Data Science training as the next step in data maturity - Greenchoice
Greenchoice has already taken considerable steps with an ambitious data strategy, future-proof data architecture and a rapidly growing number of end users in the data visualisation environment. However, in order to take the next step in data maturity, Greenchoice has developed an in-company Data Science training in collaboration with Rockfeather. The training’s main objectives were: identify, develop, and implement Data Science use cases. Alex Janssen, Manager Development Consumer and Data & Analytics explains what this training has brought.
The Future of Data: Sebastiaan Meijs, Operations Director MIREC
Rockfeather wants to put ambitious people who are using innovative technology to achieve their business goals in the spotlight. The first person we had the opportunity to interview for this series is Sebastiaan Meijs. Sebastiaan is Operations Director at MIREC, a leading electronics recycler. Are you curious about Sebastiaan’s career and personal motivations? And what role data science plays in his daily work? Then read on quickly!
Fewer season ticket cancellations through machine learning at ADO Den Haag
Season tickets are one of the most important revenue streams for top-level football clubs. It is therefore in a club’s interest to keep the number of cancellations as low as possible. However, for many clubs it is difficult to estimate who exactly is leaving. In this case study, we show how we used a predictive model to gain insight into potential cancellations at Eredivisie club ADO Den Haag.
Low Code - Sustainability App
In the last five years, sustainable development has become one of the essential pillars of organizations. Despite that, lots of organizations seem to struggle with implementing, measuring, and managing sustainable development. Together with leading organizations, we developed a straightforward app-platform with the sole purpose of making implementing, measuring, and managing sustainable development goals easier.