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master's thesis
Usporedba programskih alata za poslovnu inteligenciju
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2017. urn:nbn:hr:145:739412
Glavota, Ante
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

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Glavota, A. (2017). Usporedba programskih alata za poslovnu inteligenciju (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:739412

Glavota, Ante. "Usporedba programskih alata za poslovnu inteligenciju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:145:739412

Glavota, Ante. "Usporedba programskih alata za poslovnu inteligenciju." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2017. https://urn.nsk.hr/urn:nbn:hr:145:739412

Glavota, A. (2017). 'Usporedba programskih alata za poslovnu inteligenciju', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:145:739412

Glavota A. Usporedba programskih alata za poslovnu inteligenciju [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2017 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:145:739412

A. Glavota, "Usporedba programskih alata za poslovnu inteligenciju", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:145:739412

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Metadata
TitleUsporedba programskih alata za poslovnu inteligenciju
Title (english)COMPARISON OF SOFTWARE FOR BUSINESS INTELLIGENCE
AuthorAnte Glavota
MentorMarijana Zekić Sušac (mentor)
Committee memberMarijana Zekić Sušac (predsjednik povjerenstva)
Committee memberDavor Dujak (član povjerenstva)
Committee memberNataša Šarlija (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 country2017-09-30, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Primjena programskih alata poslovne inteligencije postaje neophodan kotačić u poslovanju bilo kojeg poslovnog subjekta. Razvoj informacijske tehnologije omogućio je pristup velikom broju podataka stoga je potreba za kvalitetnom obradom istih veća nego ikada prije. Opstanak i ostvarivanje boljih poslovnih rezultata u pozitivnoj su korelaciji sa primjenom programskih alata poslovne inteligencije u poslovanju. Trendovi pokazuju da se povećavaju ulaganja u programske alate za poslovnu inteligenciju te da sve veći broj poslovnih subjekata koristi programske alate poslovne inteligencije. U ovom radu napravljena je usporedba programskih alata za poslovnu inteligenciju i potporu u odlučivanju Tableau, IBM Watson Analytics i Microsoft Azure Machine learning prema kriterijima jednostavnosti sučelja, broju podatkovnih veza, cijeni, brzini rada i sigurnosti stoga će isti biti koristan poslovnim subjektima koji razmišljaju o uvođenju jednog od navedenih programskih alata u svakodnevno poslovanje te osobama koje imaju manje iskustva u analitici.
Abstract (english)
The application of business intelligence tools becomes an indispensable wheel in the business of any business entity. The development of information technology has enabled access to a large number of data and made the need for quality data processing greater than ever before. Survival of business and achievement of better business results are in a positive correlation with the application of business intelligence software tools in business. Trends show that investment in business intelligence tools is increasing and that the number of business entities which use business intelligence tools is constantly growing. This paper compares the software tools for business intelligence and decision-making, Tableau, IBM Watson Analytics, and Microsoft Azure Machine learning according to the simplicity of the interface, number of data connections, price, speed, and security. It will be use full to the companies that are considering about implementation of business intelligence tools and un experienced analysts.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:739412
Study programmeTitle: Business economy; specializations in: Business Informatics
Course: Business Informatics
Study programme type: university
Study level: graduate
Academic / professional title: Magistar/magistra ekonomije (Magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryEFOS REPOSITORY
Created on2017-11-06 13:33:04