Home Challenge – How to make business out of predictive data?

Challenge – How to make business out of predictive data?

Do you want to enable your knowledge and creativity in an inspiring group of young professionals? Several participants will engage in this ‘Brainsday’-challenge under guidance of Metrohm-Applikon. The group will delve into the development of a new business model. Sign up and seize this unique opportunity!

The Process Analyzers from Metrohm-Applikon produce a lot of data (run 24/7). Metrohm-Applikon could use this data to do predictive maintenance. They could offer their customers even more information.
Therefore they are looking for a business model on how to use the data, how to ensure the cyber security, secrecy and other issues. Next to a business model based on selling equipment, they would like to develop a business model based on selling data.


(subject to changes)

09.30 – Start

10.00 – 11.30 – Plenary introduction and talks of and with the speakers

11.30 – 12.00 – Challenge teambuilding assignment

12.00-12.30 – Start challenge first assignment

12.30 – 13.30 – Lunch

13.30 – 16.00 – Challenge in teams

16.00 – 16.45 – Elevator pitches

16.45 – 17.00 – Announcement winners

17.00 – 18.00 – Drinks


Timoer Frelink - CEO Metrohm Applikon en mede-oprichter Talentenpool

Business-owner Timoer Frelink (Metrohm – Applikon)
This business-owner want to challenge you to help him to innovate and to look for another businessmodel.

Our analyzers are everywhere, producing data. You can do something with this data, you can see how well the system is producing, etc. How are we going to organize this data and how are we going to make money out of it? Which data do we use, and to examen and what are you going to do with it? How can we help customers remotely with what is happening and how do we benefit ourselves? How can we prevent that something is going wrong by continuously watching. How do we deal with cyber security? How do we termine which data is of vital importance to the customer?

Lector Revolutie in de Maakindustrie Peter Troxler (Hogeschool Rotterdam)
Industrial production processes are increasingly automated to a higher degree. With current technology, it is possible to extract a lot of different data from production processes through measurements. If these measurements can be made in real-time, then real-time control of processes is also possible. In addition to industrial processes, industrial installations can also be fitted with measuring equipment to provide data on the condition of these installations.
When using measuring equipment, the question often arises: whose data is it? Does the data belong to the owner of the installation? Does the data belong to the manufacturer of the installation? Or does the data belong to the supplier of the measuring equipment? Different interests are involved and agreements may be complex. There are still few models how companies can exchange data in a smart way with each other in order to achieve benefits. And it is necessary to think carefully about which use of data is desirable and which use is undesirable.

Researcher at Kenniscentrum Business Innovation, Björn Rietdijk (Hogeschool Rotterdam) 

Björn is engaged in strategic management and innovation that is mainly focused on dynamic capabilities and innovation capacity. Björn is involved in the Get Smart project that researches the innovative capacity of six leading companies within the Rotterdam manufacturing industry. In his PhD, he is currently researching how SME manufacturing companies transform themselves digitally over time, based on three perspectives: Dynamic Capabilities, Dominant Logic (cognition) and Business Model Innovation. Björn is a strategic business administrator and graduated from the University of Amsterdam in 2018 on the subjects of individual dynamic ability, positive emotions and willingness to change. After his studies, he started working as a researcher at the Knowledge Center for Business Innovation.