JADS MKB Datalab Approach Data Project
Data Driven project
Create value with your data by participating in a data project at the JADS MKB Datalab!
At the JADS MKB Datalab (MKB = SME in English), you get the chance to explore in an accessible way how Data Science and AI can strengthen your company through a project at the MKB Datalab. Together with our expert Data Science and AI students and experienced professionals, we offer a step-by-step process that takes your company to the next level of data-driven work, using tools such as the Data Maturity Scan, Data Project Canvas, Data Check and Data Project Template.
Whether you are just starting with data analytics or already have some experience, we guide you every step of the way to find practical solutions that align with your business goals and challenges. Our approach is structured and results-oriented, so you can take full advantage of the potential of Data Science and AI.
What does the Data project entail?
At the JADS MKB Datalab’s Data project, you will have the opportunity to create value with your data together with a Data Science and AI student, under the guidance of our team. The project has a duration of about 8 to 10 weeks, during which the student will spend an average of 60 to 80 hours on the project. The student will focus on analysing your company data, developing data-driven insights and providing solutions to improve your company’s performance and efficiency.
Whether identifying opportunities for financial growth, optimising costs, saving time, or developing new propositions or business models, the aim of the data project is to help your company achieve these goals step by step using Data Science and AI.
1. Intake
The first step is the intake and then we discuss your specific needs and goals. We identify the key data challenges within your company and determine how Data Science and AI can help. This initial conversation provides us with an in-depth understanding of your business processes, data flows and current technology infrastructure. We ask questions to understand what data you currently collect, how it is used, and what problems you hope to solve. Based on this information, we develop a plan that aligns with your strategy and growth ambitions.
2. Project proposal
The second step is the project proposal, in which we explore possible solutions and strategies together. Through interactive sessions, we generate ideas and define concrete steps. This forms the basis for a successful implementation. The proposal is aimed at increasing your knowledge about Data Science and AI, and identifying practical applications for your company. We use tools such as the Data Maturity Scan and the Data Project Canvas to map your current situation and identify potential areas for improvement. There is also room for discussion and brainstorming with our Data Science and AI students, which often leads to innovative and immediately applicable ideas.
3. Project
The third step is the project itself. Our Data Science and AI students get to work on implementing the solutions. This is done under the guidance of experienced professionals to ensure quality and effectiveness. During this step, students work independently, but are in close contact with your team (1 hour per week) to integrate the proposed data solutions into your business processes. This can range from building dashboards and developing predictive models to optimising existing systems. Through regular contact and progress reports, we keep you informed of progress and make sure the project stays on track.
4. Evaluation
After implementation, we evaluate the results together. We discuss the impact of the project and identify further areas for improvement in order to continuously optimise. This evaluation includes a thorough analysis of the results achieved compared to the goals set. We look at which strategies were most effective, which challenges we encountered and how these were overcome. In addition, we provide recommendations for future steps and potential follow-up projects. This step is crucial to ensure that your company continues to benefit from the implemented data solutions and to stimulate further growth and innovation.
Participate in the next round of projects?
Fill in the contact form and schedule a no-obligation introductory meeting. Together, we can define a concrete data project that suits your company. Participate in our next project round and take the first step towards a data-driven future for your company!
The impact of working with the MKB Datalab
The impact of working with the MKB Datalab
“Thanks to the AI tool developed for us by the MKB Datalab, we no longer had to go through hundreds of pages of information to achieve our new risk profile.”
— Safety Region Brabant
Better workforce planning thanks to Data Science
Better workforce planning thanks to Data Science
“Thanks to the use of smart data, we can now better estimate – based on the weather forecast – how many staff we need to schedule. This is good for our cost control and customer satisfaction.”
Jules Lauwerijssen, Bakery Royal
Together, let's look at solutions to work with Data Science & AI.
Virgil Sowirono
Project Lead - JADS MKB DatalabContact us and I'll provide the coffee!
Brochure Download – Start working data-driven as an SME together with JADS MKB Datalab
Prefer to get inspired first? Then follow an inspiration session. Or read more about completed projects at other entrepreneurs!
The JADS MKB Datalab inspiration sessions
During an inspiration session, you will get a better idea of what role Data Science and AI can play within your company and how we as JADS MKB Datalab can help your company take the first steps towards a data-driven future.
The questions JADS MKB Datalab has taken up
The outcomes of JADS SME Datalab projects are diverse, but we have
aim to add value to a company in a project. Our example cases will show you the issues with which we were able to achieve immediate results.
Discover the power of Data Science and AI for SMEs
At the JADS MKB Datalab, we help you as an entrepreneur to make Data Science and AI applicable within your company. This is because we believe that the power of Data Science and AI should be accessible to all SMEs.