The important role of Data Science in our current time

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 her Master thesis Renée van Erp researched how the process of creating dose treatment plans for locally advanced left-sided breast cancer patients could be automated to be more efficient and less time consuming.

What could you do for sustainable cities if you drove a fleet of trucks with cameras through the city? That's how DPD Netherlands, Fruitpunch AI and JADS got to work on this open call for students.

One of PostNL's most important services is to transport parcels ordered at webshops (PostNL customers) to consumers. This service is provided at an enormous speed and accuracy and at incredibly high volumes. As a consequence, highly efficient business processes are required to maintain this service in a cost effective way. This is a Level 2 graduation case from the JADS Professional Education program.

Commissioned by the Ministry of Justice and Security, JADS researchers conducted research into the central question: can technology play a role in reducing the vulnerability of ports to undermining activities? And if so, how?

Aldipress has been the market leader in distribution and marketing of magazines, comics, novels and puzzles in the Netherlands for over 50 years. This is a Level 2 graduation case from the JADS Professional Education program.

Zinabu Melese is an Ethiopian EngD student at JADS who for his doctorate research explored a wealth of data from Hendrix Genetics and the Vion Food Group in order to lay the foundations for further data integration in the production chain. The next step will be to couple data from sensors hanging in pig farms to slaughterhouse data.

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.