prikaz prve stranice dokumenta Specifičnost razvoja sustava poslovne inteligencije
Access restricted to students and staff of home institution
undergraduate thesis
Specifičnost razvoja sustava poslovne inteligencije
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2016. urn:nbn:hr:145:655908
Mikulić, Tomislav
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

Institutional repository: EFOS REPOSITORY

Cite this document

Mikulić, T. (2016). Specifičnost razvoja sustava poslovne inteligencije (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:145:655908

Mikulić, Tomislav. "Specifičnost razvoja sustava poslovne inteligencije." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:145:655908

Mikulić, Tomislav. "Specifičnost razvoja sustava poslovne inteligencije." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:145:655908

Mikulić, T. (2016). 'Specifičnost razvoja sustava poslovne inteligencije', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 24 December 2024, https://urn.nsk.hr/urn:nbn:hr:145:655908

Mikulić T. Specifičnost razvoja sustava poslovne inteligencije [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2016 [cited 2024 December 24] Available at: https://urn.nsk.hr/urn:nbn:hr:145:655908

T. Mikulić, "Specifičnost razvoja sustava poslovne inteligencije", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:145:655908

Metadata
TitleSpecifičnost razvoja sustava poslovne inteligencije
AuthorTomislav Mikulić
MentorMaja Lamza Maronić (mentor)
Committee memberMaja Lamza Maronić (predsjednik povjerenstva)
Committee memberJerko Glavaš (član povjerenstva)
Committee memberŽeljko Požega (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 country2016-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
U današnjem suvremenom društvu korištenje informacija iz okruženja je korisno za sve ljude, pogotovo u pogledu poslovanja i tržišne konkurencije. Poslovna inteligencija je tehnološki proces upravljanja za analizu podataka i prezentaciju djelotvornih informacija za pomoć korporativnim rukovoditeljima, poslovnim menadžerima i ostalim korisnicima koji donose poslovne odluke. Ona obuhvaća razne alate, aplikacije i metodologije koje omogućavaju organizacijama prikupljanje podataka iz internih sustava i vanjskih izvora, pripremanje za analizu, izradu izvješća, vizualizaciju podataka kako bi bili na raspolaganju analitički rezultati koji su važni za korporativne donositelje odluka, ali i operativne radnike. Potencijalne prednosti poslovne inteligencije su programi koji uključuju ubrzanje i poboljšanje donošenja odluka, optimizaciju internih poslovnih procesa, povećanje operativne efikasnosti stvaranja novih prihoda i ostvarivanje konkurentske prednosti u odnosu na poslovne konkurente. Poslovna inteligencija također može pomoći tvrtkama identificirati poslovne trendove, te mjesto poslovnih problema koje treba riješiti.
Abstract (english)
In todays modern society, using information from environment is useful for all people, especially in view of bussines and market competition. Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions. BI encompasses a variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis and create reports and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. The potential benefits of business intelligence programs include accelerating and improving decision making, optimizing internal business processes, increasing operational efficiency, driving new revenues and gaining competitive advantages over business rivals. BI systems can also help companies identify market trends and spot business problems that need to be addressed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:655908
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 on2016-11-15 13:32:47