Correlation Analysis of Risk Factors in the big data Projects

Authors

  • Seung-Hee Kim

Abstract

These instructions give you guidelines for preparing papers for Big data projects can be performed successfully when they satisfy the two main axes of corporate culture and use of technology. This study conducted correlation analysis of the risk groups and risk sub-groups based on the risk classification table of big data projects and drew a map of correlation using the analysis results. For such a purpose, the correlations among 6 risk groups and 13 risk sub-groups were analyzed. As a result, 12 risk group factors and 15 risk sub-group factors that have a high degree of correlation were discovered. This study will reduce the gap between the corporate culture and the technological culture related to big data projects by drawing the direction and degree of the relationships among risk factors related to big data projects and at the same time will be applied to practical risk management activities in big data projects and provide a theoretical basis that can be used as a parameter at the time of measurement of efficiency for risk management. 

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Published

2019-12-12

Issue

Section

Articles