Published December 9, 2020 | Version v1
Project deliverable Open

D7.3 – Exploitation Plan and Business Potential-V2


This deliverable reports the exploitation activities carried out by BigDataStack partners during the second period of the project and the achievements in terms of exploitation and commercialization of the BigDataStack project. During the project lifetime, twenty-one exploitable assets have been identified, eight Minimum Valuable Products (MVP), as well as three exploitable business Use Cases. Also, three patents have arisen, and a technology transfer activity is in progress. Even though the COVID-19 pandemic situation, all exploitation activities have been properly performed. All the partners have developed their exploitation plans after the project, the partners have also already achieved remarkable exploitation results during the project, such as: commercialization of Data Skipping component by IBM and the Kuryr and Infrastructure API by RHT, Use Case partners are trying to leverage the use cases prototypes with their customers, most partners are already participating together in several Research & Development (R&D) projects to jointly exploit their Software (SW) components and BigDataStack has contributed actively to Open Source (OS) communities. Different exploitation activities have been organized in the second period of the project among partners as well as with external stakeholders. Among them, a remote workshop to discuss the exploitable assets and identifying the MVPs and two templates regarding exploitation aspects of the components have been filled in by partners, and finally, a discussion panel with big data experts organized within the EBDVF20201 event to present BigDataStack outcomes and gather feedback on the adoption of BigDataStack results. Additionally, BigDataStack Consortium has laid the ground for the sustainability of the project and the involvement of project partners after the project, by joining to the BDVA Innovation Marketplace2 and the EOSC-DIH3.



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BigDataStack – High-performance data-centric stack for big data applications and operations 779747
European Commission