Abstract
This paper leverages the many advances in information systems security management and applies them to broader organizational needs. Specifically, SIEM (Security Incident and Event Management) systems collect log data pertaining to security and uses data science tools ranging from business intelligence, machine learning and artificial intelligence to glean useful insights. The paper explores the potential to apply the data collection and processing capabilities of SIEM platforms to KPIs in the healthcare sector to provide managerial insight into a wide range of organizational processes.
Recommended Citation
Pike, Nathan and Pike, Ronald, "Progressing from the SOC to the EOC" (2019). AMCIS 2019 Proceedings. 34.
https://aisel.aisnet.org/amcis2019/info_security_privacy/info_security_privacy/34
Progressing from the SOC to the EOC
This paper leverages the many advances in information systems security management and applies them to broader organizational needs. Specifically, SIEM (Security Incident and Event Management) systems collect log data pertaining to security and uses data science tools ranging from business intelligence, machine learning and artificial intelligence to glean useful insights. The paper explores the potential to apply the data collection and processing capabilities of SIEM platforms to KPIs in the healthcare sector to provide managerial insight into a wide range of organizational processes.