A BUSINESS INTELLIGENCE SOLUTION FOR BUSINESS CONTINUITY AND SAFETY MANAGEMENT IN PUBLIC UNIVERSITIES

被引：0

作者：

Podaras, Athanasios ^{[1
]}

Zizka, Tomas ^{[1
]}

Nejedlova, Dana ^{[1
]}

Kubat, David ^{[1
]}

机构：

[1] Tech Univ Liberec, Fac Econ, Dept Informat, Studentska 1402-2, Liberec 46117 1, Czech Republic

来源：

AD ALTA-JOURNAL OF INTERDISCIPLINARY RESEARCH | 2020年 / 10卷 / 02期

关键词：

availability; business continuity; business continuity points; business intelligence; machine learning; public university; safety critical business functions; safety management; FRAMEWORK;

D O I：

暂无

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The article introduces a modem business intelligence solution for facilitating business continuity and safety management proactive decisions in public organizations and units, which is currently tested in a public university for its effectiveness. The tool's data dimensions, hierarchies and facts are based on the business continuity points method which is a modem approach for estimating proactively the recovery time and predicting the criticality level for individual business functions. From the constructed dataset, selected safety - related and highly critical business functions are used to validate the proposed contribution. The same functions are further used for estimating their availability rates and compare the results with the rates proposed by the university business continuity experts. The conducted research results indicated high accuracy when predicting criticality levels as well as computing availability rates for safety critical functions in the public university. The proposed BI tool facilitates both online analytical processing operations as well as machine learning activities.

引用

页码：357 / 365

页数：9

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