Business Data Challenge

On May 1, the Business Data Challenge will take place. This event is organized by Asset | Economics. Asset | SBIT and S.A. Flow. It is a great opportunity to apply your analytical skills to real business problems while meeting potential employers! During the day, you will work together in multi-disciplinary teams to solve a case provided by interesting companies. The case will focus on improving business processes. 

To solve the case, you must reach various milestones with your team. First, you will hold a brain-storm session to generate some ideas. Then, the company provides a dataset that must be analyzed and visualized to complete the second milestone. Finally, you will integrate your findings into a complete solution that your team presents to the company. For each case, the best team goes through to the final, where they  share their ideas with the entire audience and jury. Between the milestones, there is room for several breaks. We will also provide lunch and drinks while you are working on the case.

After the final, everyone can enjoy a three-course dinner. Subsequently, we will have an informal drink with recruiters from the participating organizations. Thereby, the event offers plenty of networking opportunities. In addition, the winning teams will be awarded prizes during the award ceremony.

This event focuses on students of MSc. Economics, MSc. Information Management, and MSc. Data Science & Society. So, if the number of registrations exceeds our maximum capacity of 48 participants, students of the target programs are given priority. We admit other registrants on a first-come basis. Hence, registration does not guarantee access to the event.

If you have any questions, please contact us by sending an e-mail to [email protected].

We hope to welcome you at the event!

Date
Took place on May 01, 11.00h May 01, 21.30h
Registration Deadline
April 30, 23:59h
Location
Tilburg University

Organization

This event is organized together with Asset | SBIT and Study Association Flow by the Business Data Challenge Committee

Dress Code

Business Casual

Contact Information

Mail: [email protected]
Tel: 013 466 4040

Registration for this event is closed...

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