디지털융복합연구 (Journal of Digital Convergence)

  • 제14권7호
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  • Pages.21-27
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  • 2016
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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AHP 기반의 빅데이터 활용을 위한 산업 탐색

Finding Industries for Big Data Usage on the Basis of AHP

  • 이상원 (원광대학교 정보전자상거래학부) ;
  • 김성현 (한국정보화진흥원 K-ICT 빅데이터센터)
  • Lee, Sang-Won (Divison of Information and Electronic Commerce, Wonkwang Uniiversity) ;
  • Kim, Sung-Hyun (K-ICT Big data Center, National Information Society Agency)
  • 투고 : 2016.05.17
  • 심사 : 2016.07.20
  • 발행 : 2016.07.28
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초록

빅데이터가 다양한 산업 분야에서 모든 관심을 끌고 있다. 사물과 사물 간 연결과 모바일 장치들의 용도 확대는 데이터의 폭발적인 증가를 불러오고 있다. 이러한 데이터를 분석하여 민간과 공공 분야에서는 비용 절감과 생산성 분야에 있어서 혜택을 누리고 있다. 한국 정부는 이러한 활용을 촉진하기 위해서, 빅데이터 산업발전전략을 활발하게 추진하고 있다. 본 연구는 빅데이터의 적극적인 육성이 필요한 산업 분야를 전문가의 검증을 통해 선정하였다. 전문가의 50여명의 체계적인 의견 도출을 위해 계층분석법(AHP)을 적용하였다. 분석 결과 의료,복지, 운송/창고보관업, 정보통신/정보보안, 에너지, 금융 분야가 빅데이터 적용이 유망한 것으로 확인되었다. 도출 결과는 앞으로 빅데이터 시범사업으로 인한 모범사례의 발굴 등에 활용되어 빅데이터 산업 발전에 기여할 것이다.

Big Data is gathering all the attention from every business community. Pervasive use of machine-to-machine (M2M) applications and mobile devices bring an explosion of data. By analyzing this data, the private and public sectors can benefit in the areas of cost reduction and productivity. The Korean government is actively pursuing Big Data initiatives to promote its usage. This paper aims to select industries which fit for the development of Big Data with a verification of the experts. The analytic hierarchy process (AHP) is applied to systematically derive the opinion of more than 50 professionals. Medical / welfare, transportation / warehousing, information and communications / information security, energy, the financial sector have been identified as promising industries. The results can be utilized in developing Big Data best practices thus contributing industrial development.

키워드

과제정보

연구 과제 주관 기관 : Wonkwang University

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