MKB Datalab

Splitser has a huge amount of user data and wanted to extract more insights from it. For example, they wanted to map what user types use their platform and what their needs are. The ultimate goal is to make the application more user-friendly and find opportunities for new revenue models.

For AcademicTransfer, MKB Datalab created a PowerBI dashboard, which is linked to Google Analytics and vacancy data. This way AcademicTransfer can easily and clearly compare and share vacancies with members.

The employees of ambulance service RAVU have many different employment contracts and schedule preferences, which leads to a considerable schedule puzzle. To save planners time, MKB Datalab has developed a schedule optimization tool.

MKB Datalab helped to optimize the waste disposal process by creating a model that predicts how full an underground container is. Thanks to this insight, Welvaarts Weegsystemen can help waste services dynamically change their route and empty containers more efficiently.

Merford is a specialist in noise control. The prices and duration of their projects vary widely, which makes it difficult to predict the profit margin of projects. Thanks to the Early Warning System MKB Datalab developed, Merford can minimize unforeseen project costs.

VIA is an ICT agency that offers insights into traffic safety statistics through its own software. The MKB Datalab has helped VIA with this by developing an algorithm together to clarify these statistics.