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undergraduate thesis
Sustavi poslovne inteligencije u poslovanju (studija slučaja)
2018. urn:nbn:hr:145:876803
Ćurić, Dajana
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

Cite this document

Ćurić, D. (2018). Sustavi poslovne inteligencije u poslovanju (studija slučaja) (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:876803

Ćurić, Dajana. "Sustavi poslovne inteligencije u poslovanju (studija slučaja)." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:876803

Ćurić, Dajana. "Sustavi poslovne inteligencije u poslovanju (studija slučaja)." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:876803

Ćurić, D. (2018). 'Sustavi poslovne inteligencije u poslovanju (studija slučaja)', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 14 January 2025, https://urn.nsk.hr/urn:nbn:hr:145:876803

Ćurić D. Sustavi poslovne inteligencije u poslovanju (studija slučaja) [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2018 [cited 2025 January 14] Available at: https://urn.nsk.hr/urn:nbn:hr:145:876803

D. Ćurić, "Sustavi poslovne inteligencije u poslovanju (studija slučaja)", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:145:876803

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Metadata
TitleSustavi poslovne inteligencije u poslovanju (studija slučaja)
Title (english)Business intelligence systems in business (case study)
AuthorDajana Ćurić
MentorJerko Glavaš (mentor)
Committee memberJerko Glavaš (predsjednik povjerenstva)
Committee memberIvan Kelić (član povjerenstva)
Committee memberBlaženka Hadrović Zekić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
(Chair of Quantitative Methods and Informatics)
Osijek
Defense date and country2018-09-11, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
Poslovna inteligencija (BI) predstavlja sposobnost shvaćanja i vještog snalaženja u novim uvjetima poslovanja,te sposobnost rješavanja poslovnih problema. Sustav BI-a, na temelju prikupljenih podataka iz različitih poslovnih i javnih izvora, ima za cilj otkriti i utvrditi zakonitostima kojima će se olakšati donošenje poslovnih odluka. U današnje vrijeme zbog napretka tehnologije i jake konkurencije na tržištu, poduzeća su počela koristiti sustave poslovne inteligencije u poslovnom odlučivanju. Uspješnost se počela temeljiti na posjedovanju pravih informacija. Poslovna inteligencija kombinira poslovne podatke s analitičkim alatima kako bi predstavila složene i važne informacije donositeljima odluka, poslovnim menadžerima i planerima. Glavni cilj BI-a je poboljšati pravovremenost i kvalitetu inputa u procesu odlučivanja . Poslovna inteligencija se koristi za razumijevanje mogućnosti koje su dostupne u poslovnim tvrtkama poput tržišnih trendova, budućih odluka i uputa za tržište širom svijeta, različitih tehnologija, regulatornog okruženja u kojem se poslovna poduzeća natječu te djelovanje mnogih konkurenata. Danas sustav poslovne inteligencije objedinjuje različite alate i tehnike kao što su primjerice skladištenja podataka (engl. Data Warehousing), rudarenje podataka (engl. Data Mining) i procesiranje podataka (engl. Online Analytical Processing – OLAP). BI prožima cijelu poslovnu inteligenciju, poboljšava poslovanje i podiže razinu poslovne inteligencije u svim njenim aspektima.
Abstract (english)
Business intelligence (BI) presents ability and skillful orientation in new business terms and ability of solving business problems. The system BI-a is based on gathered informations from different business aspects and public sources , aims to find and determine laws which will make it easier to enactment business decisions . Nowadays , due to the advancement of technology and strong competition on the market ,enterprises have begun to use system of business intelligence in business decision making. Efficacy has begun to based on possessions of real informations. BI combine business data with analytics tools in order to presents complex and important informations to the decision makers, business managers and planners. The main goal business intelligence is to improve timeliness and quality of input in decision making process . Business intelligence benefit for understanding possibilities which are available in business companies like market trend, future decision and instructions for the market worldwide, different technologies , regulatory environment in which business enterprises compete. Today, the system BI-a untes different tools and technique , for example : Data Warehousing , Data Mining and Online Analytical Processing – OLAP . Business intelligence permeated full business intelligence , improve management and raises the level of business intelligence in all its aspects.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:876803
Study programmeTitle: Financial Management
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2018-11-06 17:04:16