소비자분야 공공 빅데이터 활용 현황과 고도화 방안

Abstract

The ability to utilize big data is emerging as an important element to increase national competitiveness. Based on consumer big data analysis, the government and private sector can improve consumer-related services. However, currently consumer big data is only meaningful as a statistical object and is not maximizing the actual value of the data. Accordingly, the purpose of this study is to identify the current status of public big data use in the consumer sector and to propose advanced measures to increase the use of public big data to improve the efficiency and performance of policy and administration. The status of big data utilization was identified by investigating the types of consumer big data and the status of public data held and managed by the Korea Consumer Agency. Through literature review, in-depth interviews with practitioners, and expert consultation, we derived suggestions for advancing the use of big data and reviewed their feasibility and effectiveness. In order to advance consumer-related policies through the use of public big data in the consumer field, the data existing within the Fair Trade Commission must be integrated and converted into a database in an analyzable form, and the database managed by the Consumer Agency must be systematized and its quality improved to increase usability. It is also necessary to establish a legal basis and prepare standardization guidelines to interconnect the databases of various organizations. In addition, based on a comprehensive understanding of consumer big data, the Fair Trade Commission and the Korea Consumer Agency must clearly define stakeholders who can cooperate, such as data producers and consumers in the consumer field, and solidify their role as a practical control tower with the hegemony of consumer big data. Based on this, a top-down approach to establish a data agenda tailored to the consumer sector and a bottom-up approach to establish a consultative body for utilizing consumer big data must be taken in parallel. Furthermore, it is necessary to spread an organizational culture that utilizes data, including leadership and support for a data-based culture, recognition of the value of data assets, and investment in technology.