a Study on Using Social Big Data for Expanding Analytical Knowledge - Domestic Big Data supply-demand expectation -

분석지의 확장을 위한 소셜 빅데이터 활용연구 - 국내 '빅데이터' 수요공급 예측 -

  • 김정선 (이화여자대학교 대학원 디지털미디어학부) ;
  • 권은주 (이화여자대학교 대학원 디지털미디어학부) ;
  • 송태민 (한국보건사회연구원 통계정보연구실)
  • Received : 2014.07.09
  • Accepted : 2014.09.12
  • Published : 2014.09.30

Abstract

Big data seems to change knowledge management system and method of enterprises to large extent. Further, the type of method for utilization of unstructured data including image, v ideo, sensor data a nd text may determine the decision on expansion of knowledge management of the enterprise or government. This paper, in this light, attempts to figure out the prediction model of demands and supply for big data market of Korea trough data mining decision making tree by utilizing text bit data generated for 3 years on web and SNS for expansion of form for knowledge management. The results indicate that the market focused on H/W and storage leading by the government is big data market of Korea. Further, the demanders of big data have been found to put important on attribute factors including interest, quickness and economics. Meanwhile, innovation and growth have been found to be the attribute factors onto which the supplier puts importance. The results of this research show that the factors affect acceptance of big data technology differ for supplier and demander. This article may provide basic method for study on expansion of analysis form of enterprise and connection with its management activities.