Big Data Value ecosystem

The mission of BDVe is to support the Big Data Value PPP in realizing a vibrant data-driven EU economy or said in other words, BDVe will support the implementation of the PPP to be a SUCCESS.
Behind that mission, there are multiple goals to achieve, which should be taken into full consideration when defining the directions of the PPP. Some of the most challenging ones are: (1) achieving a more competitive landscape of European Big Data providers, leading to bigger market share; (2) creating the context for a more competitive EU industry (transport, manufacturing, public sector, agrifood, media, energy…) in the advent of a data-driven revolution where many traditional players will have to transform their processes and re-think their business if they want to remain completive –or in some cases, just to survive-; (3) ensuring the sustainability of the investments and actions triggered by the PPP.

BDVe has broken down those high-level goals into 7 major priorities for the project:
• Being accurately informed about most important facts in Big Data so that we have a solid basis to support the decision-making process in the PPP
• Supporting the implementation of the Big Data PPP from an operational point of view
• Developing a vibrant community around the PPP
• Supporting the development of a European network of infrastructures and centers of excellence around Big Data
• Setting-up a professional Communications strategy
• Setting up a framework that supports the acceleration of data-driven businesses, and
• Ensuring the sustainability of the investments and actions triggered by the PPP.

The BDVe consortium includes a set of partners that have shown commitment and dedication to the success of the PPP for several years. They have already invested and they have committed to invest along the coming years. We believe that this CSA cannot be a neutral action that offers operational support without further commitment.

Our Role: Work Package Leader

Details of Grant: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement no. 732630.

Cordis Link: http://cordis.europa.eu/project/rcn/206401_en.html