Multi-Agent Architecture of Business Intelligence Environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F12%3A%230001936" target="_blank" >RIV/47813059:19520/12:#0001936 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multi-Agent Architecture of Business Intelligence Environment

Popis výsledku v původním jazyce

Business intelligence is used to describe applications and technologies which are used to gather, provide access to and analyze 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 byminimizing the amount of data transfer and data storage. Using the predictive functionality of the system can bring a significant competitive advantage of business units.

Název v anglickém jazyce

Multi-Agent Architecture of Business Intelligence Environment

Popis výsledku anglicky

Business intelligence is used to describe applications and technologies which are used to gather, provide access to and analyze 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 byminimizing the amount of data transfer and data storage. Using the predictive functionality of the system can bring a significant competitive advantage of business units.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

O - Projekt operacniho programu

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

In Proceedings: ICT for Competitiveness 2012.

ISBN

978-80-7248-731-8

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

284-291

Název nakladatele

Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné

Místo vydání

Karviná

Místo konání akce

Petrovice u Karviné

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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