Experiencing with Splunk, a Platform for Analyzing Machine Data, for Improving Recruitment Support Services in WorldJob+

머신 데이터 분석용 플랫폼 스플렁크를 이용한 취업지원 서비스 개선에 관한 연구 : 월드잡플러스 사례를 중심으로

  • Lee, Jae Deug (Information Support Bureau, Human Resources Development Service of Korea) ;
  • Rhee, MoonKi Kyle (School of Business, SungKyunKwan University) ;
  • Kim, Mi Ryang (Dept. of Computer Education, SungKyunKwan University)
  • 이재덕 (한국산업인력공단 정보화지원국) ;
  • 이문기 (성균관대학교 경영대학) ;
  • 김미량 (성균관대학교 컴퓨터교육과)
  • Received : 2018.01.10
  • Accepted : 2018.03.20
  • Published : 2018.03.28


WorldJob+, being operated by The Human Resources Development Service of Korea, provides a recruitment support services to overseas companies wanting to hire talented Korean applicants and interns, and support the entire course from overseas advancement information check to enrollment, interview, and learning for young job-seekers. More than 300,000 young people have registered in WorldJob+, an overseas united information network, for job placement. To innovate WorldJob+'s services for young job-seekers, Splunk, a powerful platform for analyzing machine data, was introduced to collate and view system log files collected from its website. Leveraging Splunk's built-in data visualization and analytical features, WorldJob+ has built custom tools to gain insight into the operation of the recruitment supporting service system and to increase its integrity. Use cases include descriptive and predictive analytics for matching up services to allow employers and job seekers to be matched based on their respective needs and profiles, and connect jobseekers with the best recruiters and employers on the market, helping job seekers secure the best jobs fast. This paper will cover the numerous ways WorldJob+ has leveraged Splunk to improve its recruitment supporting services.


Big-data analytics;WorldJob+;Splunk;Recruitment service;Visualization


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