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NTIS 바로가기Journal of Korean Society of Industrial and Systems Engineering = 한국산업경영시스템학회지, v.39 no.2, 2016년, pp.54 - 63
천민경 (한양대학교 일반대학원 경영컨설팅학과) , 백동현 (한양대학교 경상대학 경영학부)
As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for custom...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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빅데이터란 무엇인가? | 빅데이터란 시스템, 서비스, 조직 등에서 주어진 비용, 시간 내에 처리 가능한 데이터 범위를 넘어서는 데이터를 의미하며[19], ‘그레이 데이터(Gray Data)’ 혹은 기업데이터, 오픈데이터, 소셜 데이터로 통칭하여 불린다. 빅데이터라는 단어의 시작은 2010년 2월 ‘이코노미스트’지 커버 이미지에 실린 ‘The data deluge-데이터 폭우에 대한 스페셜 리포트’이며[25], 최초의 빅데이터 정의는 Teradata Magazine Article에서 가트너의 Merv Adrian(2011) 에 의해 언급되었다[7]. | |
국내 기업이 유용하게 활용하기 위해 국내 실상에 적합한 평가 항목 보완이 필요한 이유는 무엇인가? | 본 연구에서는 국내의 기존 문헌자료가 부족하여 해외 실정에 국한된 참조모델 내 세부 요소 설계 및 진단 시스템 항목 설계가 이루어졌기 때문에, 국내 기업이 유용하게 활용하기 위해서는 국내 실상에 적합한 평가 항목 보완이 필요할 것으로 판단된다. 향후 연구과제로 추가적인 기업 데이터 및 사용 데이터의 수집을 통해 각 산업과 업종에 적합한 수준진단시스템을 개발하는 연구가 필요할 것이다. | |
기업의 역량 수준 평가에 도움을 줄 수 있는 참조모델을 개발한 배경은 무엇인가? | 해외의 다양한 글로벌 산업군 기업들은 계속적으로 성공적인 빅데이터 활용사례의 수를 증가시켜가고 있으며, 국내에서는 평판 분석, 국가 정책 여론 파악 등 제한된 기술을 보유한 기업이 등장하였으나 글로벌 기업에 대비하여 기술 수준 및 경쟁력이 취약한 편이다[1] |
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