BigDataStack deploys best practice Innovation Management methods to reduce the gap between project results and targeted market, ensuring an earlier adoption of project outcomes. BigDataStack Innovation Management is based on procedures inspired on the European standard for innovation management, CEN/TS 16555-1 , an innovation management system supported by interfaces and interactions between scientific and technological knowledge, knowledge about the organization and the market, as well as society as a whole.
The adopted innovation management procedures reinforce and guarantee that:
- The expected results are aligned to market needs, including needs of big data community, and data providers’ communities;
- The results are disseminated and reach their target groups;
- There is a clear business exploitation strategy for the BigDataStack solutions.
BigDataStack Innovation Strategy is based on the priorities identified by Big Data Value Association (BDVA) , examining the relevant potential not only of BigDataStack framework, but also of its individual components and the proposed use cases.
Innovation Management is ensuring that all partners are well prepared for the challenges of market-oriented exploitation , in order to convert research results into innovative success stories, keeping the technological achievements always connected and relevant to market requirements and trends.
The Innovation Management activity is coordinated by the Innovation Manager (IM) of BigDataStack who is supported by the rest of the members of the Project Management Board.