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New project round JADS MKB Datalab helps SMEs implement data science & AI

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On Friday 23 February 2024, JADS MKB Datalab launched a new round of projects. This time with 9 SME companies. From lingerie to vascular implants, from playground equipment for children to the production of fencing. A wide range of different companies! Founded in 2018, JADS MKB Datalab’s mission is to make data science and AI accessible to SMEs. Although a digital transition can be a big step forward especially for small companies, they often do not immediately see the added value of data science and AI, do not know where to start or do not have the right skills themselves to get started with data. During the kick-off session, the companies were personally introduced and paired with the student consultants.

JADS MKB Datalab has assisted a wide variety of companies over the past five years, for whom it has carried out the most diverse projects, from fairly simple to highly complex. The number of entrepreneurs supported now stands at 180, but the number of projects carried out is almost double, as many past entrepreneurs come back for more. For the master students of JADS SME Datalab, this is proof that every company can get more out of data science and AI.

9 project partners at the same time

Friday 23 February 2024 marked the kick-off for a new round of projects with nine project partners. The master students, including from Data Science in Business and Entrepreneurship, who will carry out the assignments for the JADS MKB Datalab will work on interesting defined projects in which they will help organisations become more data-driven. Companies such as Annadiva, Buynamics, Healthy Fridge, Rademaker Advies & Accountancy, Trahecon, Visser Diesel Center, Wickey, Xeltis and RAFT are thus taking their (next) step in the field of value creation with Data.

The kick-off on the JADS campus: SME Companies introduce themselves and meet student consultants.


Some of the projects the student consultants will work on with JADS MKB Datalab:

  • Automating time-consuming, standardised work: such as performing customer analyses, or preparing a quotation;
  • Bringing data from different channels together in a data warehouse, to lay the basis for data visualisations (dashboarding);
  • Cleaning up data in the context of migration to new information system;
  • Visualising customer data to provide geographical insights for marketing campaigns (dashboarding);
  • Comparing predictive models to arrive at best model and fine-tune purchasing process;
  • Analyse product sales to gain certain strategic insights.
  • Central kick-off provides additional insight

During this kick-off moment, the companies introduce themselves and their challenges, and the students who will work on the challenges also introduce themselves. The students then make individual agreements about the working method and communication with the company for which they are taking up a challenge. These sessions work very inspiring as it also gives a good idea of what other companies from completely different sectors are working on in terms of value creation from data. The demand of the entrepreneurs is central as students carry out the projects as a side job outside the curriculum. Besides delivering a defined project, students gain practical work experience; such as development of both soft-skills in addition to the hard skills from the course. Naturally, the morning session ended with a tour around the campus.


A tour of the campus was a welcome end to the morning.

More information

Find out for yourself where the opportunities lie for your organization. Find out more on our JADS MKB Datalab page.

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