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Structural Dashboard Design for Monitoring Job Performance of Internet Web Security Diagnosis Team: An Empirical Study of an IT Security Service Provider

  • Received : 2017.06.02
  • Accepted : 2017.07.27
  • Published : 2017.10.31

Abstract

Company A's core competency is IT internet security services. The Web diagnosis team analyzes the vulnerability of customer's internet web servers and provides remedy reports. Traditionally, Company A management has utilized a simple table format report for resource planning. But these reports do not notify the timing of human resource commitment. So, upper management asked its team leader to organize a task team and design a visual dashboard for decision making with the help of outside professional. The Task team selected the web security diagnosis practice process as a pilot and designed a dashboard for performance evaluation. A structural design process was implemented during the heuristic working process. Some KPI (key performance indicators) for checking the productivity of internet web security vulnerability reporting are recommended with the calculation logics. This paper will contribute for security service management to plan and address KPI design policy, target process selection, and KPI calculation logics with actual sample data.

Keywords

References

  1. S. Ortiz Jr., "Taking Business Intelligence to the Masses," Computer, Vol. 43, No. 7, pp. 12-15, July 2010. http://dx.doi.org/10.1109/MC.2010.208
  2. D. A. Price, "The Dawn of a New ERA," DM Review, pp. 18-22, Feb. 2006.
  3. N. E. Cagiltay, G. Tokdemir, O. Kilic, D. Topalli, "Performing and analyzing non-formal inspections of entity relationship diagram(ERD)," The Journal of Systems and Software, Vol. 86,No. 8, pp. 2184-2915, 2013. http://dx.doi.org/10.1016/j.jss.2013.03.106
  4. J. Lee and S. Jeong, "A Practical 1 Page Contextual Diagram for Monitoring Multiple Projects: An Empirical Study of an IT Organization," Journal of Internet Computing and Service, Vol. 17, No. 5, pp. 121-129, Oct. 2016. http://dx.doi.org/10.7472/jksii.2016.17.5.121
  5. W. van der Aalst, "Process Mining," Springer, 2nd edition, 2016. http://dx.doi.org/10.1007/978-3-662-49851-4
  6. K. Bauer, "The CPM Dashboard - The Graphs, Designing an Effective Dashboard is like creating a Steven Spielberg Film," DM Review, pp. 68-71, June 2004.
  7. D. M. Raab, "Selecting Customer Value Dashboard Contents, Part 2," DM Review, Vol. 16, pp. 12, March 2006.
  8. J. Wickboldt, L. Bianchin, R. Lunardi, et al., "A framework for risk assessment based on analysis of historical information of workflow execution in IT systems," Computer Networks, Vol. 55, No. 13, pp. 2954-2975, Sept. 2011. http://dx.doi.org/10.1016/j.comnet.2011.05.025
  9. S.A. Lesany, A. Koochakzadeh, S.M.T. Fatemi Ghomi, "Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted line of samples," International Journal of Production Research, Vol. 52, No. 6, pp. 1771-1786, 2014. http://dx.doi.org/10.1080/00207543.2013.848483
  10. G. Tsiotras, "Quality improvement for group work management process," Total Quality Management, Vol. 4, No. 3, pp. 257-260, 1993. http://dx.doi.org/10.1080/0954412930000040
  11. G. Parry and C. Turner, "Application of lean visual process management tools,"Production Planning & Control, Vol. 17, No. 1, pp.77-86, Jan. 2006. http://dx.doi.org/10.1080/09537280500414991
  12. H. Mckew, "Dashboard without an Operator," Engineered Systems, Vol. 27, No. 11, pp. 66, Nov. 2010.
  13. D. M. Wong, "Guide to Information Graphics," The Wall Street Journal, 2010.