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dc.contributor.authorShi, Shenzhi
dc.contributor.authorTeerlinck, Maxim
dc.date.accessioned2021-04-27T19:02:10Z
dc.date.available2021-04-27T19:02:10Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.12127/6930
dc.description.abstractONTOFORCE is a fast-growing scale-up that started developing a data integration and visual analytics platform focusing on Pharmaceutical and Biotech companies. As the platform is currently mainly used by researchers in Pharmaceutical and Biotech companies, ONTOFORCE wanted to expand its scope. By creating a platform focused on the corporate side of life science companies, a convenient tool could be created for a broad range of different customer segments. In order to create this new platform, an in-depth analysis of the potential market and their corresponding necessities were required. Obtaining a clear view of the way of working of every single segment as well as understanding the available tools and their use cases were required to obtain insights in the industry. As soon as we had developed market perception, we could determine the specific segments in the market which could be worthwhile to investigate. Soon it became clear that European Biotech clusters are remarkably closed entities, yet, possess extreme valuable information. Even though almost every cluster agree that a close inter-cluster collaboration would be beneficial for both the clusters as well as the members of clusters, few were willing to completely open up their obtained market insights. As a result, this report suggests serving the clusters as a channel to provide ONTOFORCE with the relevant customer profiles. One of the customer segments that originated out of the analysis of the European Biotech clusters, were the investors. More specifically, Venture Capital firms, as these entities play an important role in the financing of early-stage Biotechnology startups. Albeit, we anticipated a tremendous enthusiasm of these investors for the DISQOVER platform, the opinions were rather divided. However, both the literature as our interview results concluded that the Technology and Management team are the most important parameters in the deal assessment of investors. The third customer segment we investigated are the Big Pharmaceutical companies which seem to require the assistance of semantic data search more for their licensing than M&A activities. Consequently, these entities are interested in using the DISQOVER platform only if ONTOFORCE is able to include a comprehensive overview of the competitive landscape. However, this customer segment would be of major importance as they have a lot of resources devoted on research and evaluation which means they would be willing to pay whatever it takes to reduce their research time. Finally, Technology Transfer Offices are another interesting customer segment, as these entities stressed their need for using kind like platforms. However, one needs to take in account that TTOs are generally government funded and consequently mainly have financial constraints. However, including information of TTOs in the platform would be create a major added value for all the different users of the platform. As such, one could argue to reduce the fee TTOs would have to pay for their subscription. To conclude our project, we came up with three main recommendations which could be considered for the further course of creating the new DISQOVER platform. We suggest ONTOFORCE to appear the Biotech clusters as a sales channel in order to reach out to the different customer segments such as Biotech Venture Capitalists, Big Pharmaceutical companies and Tech Transfer Offices. Besides, ONTOFORCE needs to exploit the capabilities of semantic technology in order to create a clear visualization of the competitive landscape within the life science industry. Finally, we recommend utilizing a crowd-sourced data collection technique, which requires the users to create a personal profile, in order to gather clusters' private information.
dc.language.isoen
dc.titleThe improvement of the matchmaking process of different stakeholders within biotech clusters through semantic data search
dc.source.numberofpages218
vlerick.knowledgedomainOperations & Supply Chain Management
vlerick.supervisorIsik, Öykü
dc.identifier.vperid133416
vlerick.companynameOntoforce
vlerick.companysupervisorConstandt, Hans
vlerick.programmeMGM Leuven - MIE
vlerick.typebusresprojectIn-Company Project


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