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Data-Driven Innovation

Big Data for Growth and Well-Being

image of Data-Driven Innovation

Today, the generation and use of huge volumes of data are redefining our “intelligence” capacity and our social and economic landscapes, spurring new industries, processes and products, and creating significant competitive advantages. In this sense, data-driven innovation (DDI) has become a key pillar of 21st-century growth, with the potential to significantly enhance productivity, resource efficiency, economic competitiveness, and social well-being.

Greater access to and use of data create a wide array of impacts and policy challenges, ranging from privacy and consumer protection to open access issues and measurement concerns, across public and private health, legal and science domains. This report aims to improve the evidence base on the role of DDI for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

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Mapping the global data ecosystem and its points of control

In exploring the rapidly evolving data ecosystem, this chapter enumerates the key actors, their main technologies and services, and their business and revenue models. It uses a layer model to identify these actors as well as strategic points of control in the system. It goes on to discuss the interaction among actors, analysing in particular the relation between competition and collaboration for DDI, and how this “co-opetition” translates in terms of horizontal and vertical dynamics. The chapter analyses the degree to which data ecosystems are open, global and interconnected. Finally, it looks at the implications of DDI for global value chains (GVCs) and trade, taxation, and competition.

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