A Strategic Perspective on Big Data Driven Socioeconomic Development

Abstract

Big data and big data technology have been revolutionizing our work, lives, and society. Socioeconomic development has become a hot topic for academia, industries, organizations, and governments. This paper will examine big data-driven socioeconomic development from a strategic perspective. More specifically, this paper explores the importance of big data by looking at the big characteristics (10 Bigs) of big data. This paper presents a GDDP (gross domestic data products) as a GDP-like data metric for measuring economic performance and social progress. It proposes a strategic model for big data-driven socioeconomic development, which is supported by big data-driven technologies, services, economies, and societies. This research demonstrates that big data-driven SMACS (i.e., social, mobile, analytics, cloud, and service) technologies, services, economies, and societies underpin the big data-driven socioeconomic development. The proposed approach in this paper might facilitate the research and development of big data, big data analytics, socioeconomic development, artificial intelligence (AI), and digital society.

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