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Statements

Subject Item
n2:RIV%2F47813059%3A19520%2F12%3A%230001689%21RIV13-MSM-19520___
rdf:type
n11:Vysledek skos:Concept
dcterms:description
Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to, and analyse data and information about the organization, to help make better business decisions. The multi-agent approach provides a feasible solution for construction of the business intelligence system. This paper firstly briefly introduces the traditional business intelligence architecting principles and multi-agent approach. Secondly, a design of business intelligence system architecture is proposed, which is composed of the system framework, agent description and system workflow. This design allows to reduce effectively the construction costs of business intelligence systems and to extend the applied scope of business intelligence by minimizing the amount of data transfer and data storage. Using the predictive functionality of the system can bring a significant competitive advantage of business units. The paper presents a new approach for business intelligence architecture modelling, representing an extension over existing systems. Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to, and analyse data and information about the organization, to help make better business decisions. The multi-agent approach provides a feasible solution for construction of the business intelligence system. This paper firstly briefly introduces the traditional business intelligence architecting principles and multi-agent approach. Secondly, a design of business intelligence system architecture is proposed, which is composed of the system framework, agent description and system workflow. This design allows to reduce effectively the construction costs of business intelligence systems and to extend the applied scope of business intelligence by minimizing the amount of data transfer and data storage. Using the predictive functionality of the system can bring a significant competitive advantage of business units. The paper presents a new approach for business intelligence architecture modelling, representing an extension over existing systems.
dcterms:title
Agent-based design of business intelligence system architecture Agent-based design of business intelligence system architecture
skos:prefLabel
Agent-based design of business intelligence system architecture Agent-based design of business intelligence system architecture
skos:notation
RIV/47813059:19520/12:#0001689!RIV13-MSM-19520___
n11:predkladatel
n13:orjk%3A19520
n3:aktivita
n18:I
n3:aktivity
I
n3:cisloPeriodika
3
n3:dodaniDat
n15:2013
n3:domaciTvurceVysledku
n12:2029480
n3:druhVysledku
n4:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
121321
n3:idVysledku
RIV/47813059:19520/12:#0001689
n3:jazykVysledku
n8:eng
n3:klicovaSlova
multi-agent, business intelligence, software agent, BI, architecture, MAS
n3:klicoveSlovo
n7:MAS n7:architecture n7:software%20agent n7:multi-agent n7:business%20intelligence n7:BI
n3:kodStatuVydavatele
RO - Rumunsko
n3:kontrolniKodProRIV
[C9E1072AD854]
n3:nazevZdroje
Journal of Applied Economic Sciences
n3:obor
n17:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:rokUplatneniVysledku
n15:2012
n3:svazekPeriodika
7
n3:tvurceVysledku
Šperka, Roman
s:issn
1843-6110
s:numberOfPages
8
n14:organizacniJednotka
19520