A Business Intelligence Solution for Business Continuity and Safety Management in Public Universities
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Business Intelligence Solution for Business Continuity and Safety Management in Public Universities
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A Business Intelligence Solution for Business Continuity and Safety Management in Public Universities
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10700 - Other natural sciences
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Ad Alta: Journal of Interdisciplinary Research
ISSN
1804-7890
e-ISSN
—
Svazek periodika
10
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
9
Strana od-do
357-365
Kód UT WoS článku
000606326200060
EID výsledku v databázi Scopus
—