A Business Intelligence Solution for Business Continuity and Safety Management in Public Universities
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F20%3A00008118" target="_blank" >RIV/46747885:24310/20:00008118 - isvavai.cz</a>
Result on the web
<a href="http://www.magnanimitas.cz/ADALTA/1002/papers/I_podaras.pdf" target="_blank" >http://www.magnanimitas.cz/ADALTA/1002/papers/I_podaras.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.33543/1002357365" target="_blank" >10.33543/1002357365</a>
Alternative languages
Result language
angličtina
Original language name
A Business Intelligence Solution for Business Continuity and Safety Management in Public Universities
Original language description
The article introduces a modern 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 modern 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ad Alta: Journal of Interdisciplinary Research
ISSN
1804-7890
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
357-365
UT code for WoS article
000606326200060
EID of the result in the Scopus database
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