Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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An Assessment System for Evaluating Big Data Capability Based on a Reference Model

빅데이터 역량 평가를 위한 참조모델 및 수준진단시스템 개발

  • Cheon, Min-Kyeong (Graduate School of Management Consulting, Hanyang University) ;
  • Baek, Dong-Hyun (Department of Business Administration, Hanyang University)
  • 천민경 (한양대학교 일반대학원 경영컨설팅학과) ;
  • 백동현 (한양대학교 경상대학 경영학부)
  • Received : 2016.03.29
  • Accepted : 2016.05.17
  • Published : 2016.06.30
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Abstract

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 customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

Keywords

References

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