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빅 데이터의 새로운 고객 가치와 비즈니스 창출을 위한 대응 전략

Correspondence Strategy for Big Data's New Customer Value and Creation of Business

  • 고준철 (명지대학교 산업경영공학과) ;
  • 이해욱 (명지대학교 산업경영공학과) ;
  • 정지윤 (명지대학교 산업경영공학과) ;
  • 강경식 (명지대학교 산업경영공학과)
  • Koh, Joon-Cheol (Department of Industrial Engineering, Graduate School, University of Myongji) ;
  • Lee, Hae-Uk (Department of Industrial Engineering, Graduate School, University of Myongji) ;
  • Jeong, Jee-Youn (Department of Industrial Engineering, Graduate School, University of Myongji) ;
  • Kim, Kyung-Sik (Department of Industrial Engineering, Graduate School, University of Myongji)
  • 투고 : 2012.10.20
  • 심사 : 2012.12.07
  • 발행 : 2012.12.31

초록

Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

키워드

참고문헌

  1. SERI(2012), "Bid Data, Change Management", Hamyugeun, Chaeseungbeom
  2. Suzuki, Ryosuke, "Big Data Business", The Forest
  3. SERI(2011), "Find gold mines in the Data Deluge : 'Big data analysis and use', Chaeseungbeom
  4. Leesungchoon(2012), "Big Data utilizing and Implications for Telecommunications Industry"
  5. Gimhuibae(2011), "Big Data era for BI / DW strategy", Network Times
  6. National ICT Strategies(2012), "Big Data Master Plan Current Status and Future Plans", Ministry of Public Administration and Security
  7. National Information Society Agency(2011), "New value creation engine, new possibilities in Big Data and Strategies", IT& Future Strategy
  8. National IT Industry Promotion Agency(2012), "Latest IT trends - challenges and opportunities due to the proliferation of Big Data"
  9. Korea Internet Agency Policy Planning Team (2012), "Big Data era, new possibilities and challenges", Attleruss Research & Consulting
  10. Jeongyongchan(2012), "Big Data revolution and media policy issues", Information and Communication Policy Research Institute

피인용 문헌

  1. TOE와 혁신확산이론에 따른 해운항만조직의 빅데이터 사용의도에 관한 연구 vol.34, pp.3, 2012, https://doi.org/10.38121/kpea.2018.09.34.3.159
  2. 온라인 커뮤니티의 네트노그라피 분석을 통한 창업 아이디어 도출 통합모델 제안 vol.28, pp.3, 2012, https://doi.org/10.21219/jitam.2021.28.3.001