DOI QR코드

DOI QR Code

The Developing of Analytical Statistics System for the Efficiency of Defense Management

국방경영 효율화를 위한 분석형 통계시스템 구축

  • Lee, Jung-Man (Office of Planning and Coordination, Ministry of National Defense)
  • Received : 2014.10.27
  • Accepted : 2015.09.07
  • Published : 2015.09.30

Abstract

Recently, management based on statistical data has become a big issue and the importance of the statistics has been emphasized for the management innovation in the defense area. However, the Military Management based on the statistics is hard to expect because of the shortage of the statistics in the military. There are many military information systems having great many data created in real time. Since the infrastructure for gathering data form the many systems and making statistics by using gathered data is not equipped, the usage of the statistics is poor in the military. The Analytical Defense Statistics System is designed to improve effectively the defense management in this study. The new system having the sub-systems of Data Management, Analysis and Service can gather the operational data from interlocked other Defense Operational Systems and produce Defense Statistics by using the gathered data beside providing statistics services. Additionally, the special function for the user oriented statistics production is added to make new statistics by handling many statistics and data. The Data Warehouse is considered to manage the data and Online Analytical Processing tool is used to enhance the efficiency of the data handling. The main functions of the R, which is a well-known analysis program, are considered for the statistical analysis. The Quality Management Technique is applied to find the fault from the data of the regular and irregular type. The new Statistics System will be the essence of the new technology like as Data Warehouse, Business Intelligence, Data Standardization and Statistics Analysis and will be helpful to improve the efficiency of the Military Management.

Keywords

References

  1. An, J.H., Data Analysis by Using R. Hannare, 2011.
  2. Hiromu, N., Statistics power for controlling Big Data, Vision Korea, 2013.
  3. Hoffman, K.L., DMDC Overview, 2012.
  4. Laberge, R., The DATA Warehouse mentor, BJPUBLIC, 2013.
  5. No, H., Lee, M.C., Kim, Y.T., Wo, J.U., Tac, S.H., Ko, W., Jo, K.H., Dokgo, S., and Kim, Y.J., Developing statistics indicator and DW, KIDA research report 07-2471, 2007.
  6. Park, S.J., Data Warehouse. Hanshin University publishing departure, 2012.
  7. Shmueli, G., Patel, N.R., and Bruce, P.C., Data Mining for Business Intelligence. EnBPlus, 2012.
  8. Statistics KOREA, The introduction of KOSIS, 2012.
  9. The Bank of Korea, The understanding of ECOS, 2012.