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.



Cities as hubs for data-driven innovation

This chapter provides an overview of data production and examples of opportunities for data-driven innovation in cities, as well as a discussion of related policy implications. The focus is on data-driven innovation i) that increases the efficiency of urban systems, including through system integration; ii) that enables new business opportunities, for example in urban mobility and accommodation markets; and iii) that improves urban governance. Examples in each of these areas show that the potential of data-driven innovation in cities has only begun to be tapped, and that the conditions to unleash it need to be improved. Issues to be addressed by policy makers to improve such conditions include interoperability, regulation, digital security risk management, and privacy.


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