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master's thesis
Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima
Zagreb: University of Zagreb, Faculty of Economics and Business, 2022. urn:nbn:hr:148:678890
Rogoz, Ivo
University of Zagreb
Faculty of Economics and Business
Department of Organization and Management

Institutional repository: REPEFZG

Cite this document

Rogoz, I. (2022). Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima (Master's thesis). Zagreb: University of Zagreb, Faculty of Economics and Business. Retrieved from https://urn.nsk.hr/urn:nbn:hr:148:678890

Rogoz, Ivo. "Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2022. https://urn.nsk.hr/urn:nbn:hr:148:678890

Rogoz, Ivo. "Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima." Master's thesis, University of Zagreb, Faculty of Economics and Business, 2022. https://urn.nsk.hr/urn:nbn:hr:148:678890

Rogoz, I. (2022). 'Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima', Master's thesis, University of Zagreb, Faculty of Economics and Business, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:148:678890

Rogoz I. Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima [Master's thesis]. Zagreb: University of Zagreb, Faculty of Economics and Business; 2022 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:148:678890

I. Rogoz, "Prilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima", Master's thesis, University of Zagreb, Faculty of Economics and Business, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:148:678890

Metadata
TitlePrilike i izazovi implementacije tehnologije za obradu Velikih podataka u hrvatskim poduzećima
Title (english)Opportunities and challenges of implementation of Big Data technology in Croatian enterprises
AuthorIvo Rogoz
MentorJasna Prester (mentor)
Committee memberJasna Prester (predsjednik povjerenstva)
Committee memberMatija Marić (član povjerenstva)
Committee memberTomislav Hernaus (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Economics and Business
(Department of Organization and Management)
Zagreb
Defense date and country2022-05-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
Napredne metode analize podataka postale su imperativ funkcioniranja svih suvremenih poduzeća. Jedna od tih metoda je tehnologija obrade Velikih podataka. Ona nudi mogućnost obrade većeg volumena podataka kao i mogućnost obrade naprednijih vrsta podataka. Takva tehnologija nudi nebrojena unaprjeđenja u poslovanju poput efikasnijeg donošenja odluka, analize tržišta, znatno kvalitetnijeg i bržeg istraživanja i razvoja i slično. Cilj ovog diplomskog rada je utvrditi kako se hrvatska poduzeća nose s implementacijskim problemima koji neizostavno dolaze s ovom tehnologijom, ali i kako i u kojoj mjeri crpe mogućnosti koje ona nudi. Anketnim istraživanjem utvrđuje se koji su najzastupljeniji izvori podataka, ali i tipovi podataka koje domaća poduzeća koriste, koje prepreke su naišli prilikom implementacije te na koje organizacijske aktivnosti ona ima najvećeg utjecaja.
Abstract (english)
Advanced data analysis methods have become an imperative for the functioning of all modern enterprises. One of these methods is Big Data processing technology. It offers the ability to process larger volumes of data as well as the ability to process more advanced types of data. Such technology offers countless improvements in business, such as more efficient decision-making, market analysis, significantly better and faster research and development and the like. The aim of this thesis is to determine how Croatian companies deal with the implementation problems that inevitably come with this technology, but also how and to what extent they draw on the opportunities it offers. Survey research determines which are the most common data sources, but also the types of data used by domestic companies, which obstacles they encountered during implementation and which organizational activities it has the greatest impact on.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:148:678890
Study programmeTitle: Business Economics
Study programme type: university
Study level: integrated undergraduate and 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
Created on2022-05-31 19:06:43