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master's thesis
DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA
Diplomski rad
Split: University of Split, Faculty of economics Split, 2018. urn:nbn:hr:124:866308
Urem, Tanja
University of Split
Faculty of economics Split

Institutional repository: REFST

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Urem, T. (2018). DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad (Master's thesis). Split: University of Split, Faculty of economics Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:124:866308

Urem, Tanja. "DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad." Master's thesis, University of Split, Faculty of economics Split, 2018. https://urn.nsk.hr/urn:nbn:hr:124:866308

Urem, Tanja. "DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad." Master's thesis, University of Split, Faculty of economics Split, 2018. https://urn.nsk.hr/urn:nbn:hr:124:866308

Urem, T. (2018). 'DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad', Master's thesis, University of Split, Faculty of economics Split, accessed 29 November 2024, https://urn.nsk.hr/urn:nbn:hr:124:866308

Urem T. DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad [Master's thesis]. Split: University of Split, Faculty of economics Split; 2018 [cited 2024 November 29] Available at: https://urn.nsk.hr/urn:nbn:hr:124:866308

T. Urem, "DEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad", Master's thesis, University of Split, Faculty of economics Split, Split, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:124:866308

Metadata
TitleDEFINIRANJE INDIKATORA POSLOVNE INTELIGENCIJE NA TEMELJU POSLOVNIH POTREBA : Diplomski rad
AuthorTanja Urem
MentorNikša Alfirević (mentor)
MBZ: 232134
GranterUniversity of Split
Faculty of economics Split
Split
Defense date and country2018-08, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
Poslovna inteligencija i ključni indikatori performansi (KPI) se koriste za mjerenje performansi poslovnog procesa i poslovanja poduzeća a u cilju donošenja ispravnih odluka i unapreĎenja poslovanja. Razni autori govore o vaţnosti poslovne inteligencije i ključnih indikatora performansi za unapreĎenje, uspješnost poslovanja, postizanje konkurentske prednosti ali i samog opstanka poduzeća na današnjem globaliziranom trţištu. Radom se ţeljela teorijski objasniti i u empirijskome dijelu ispitati vaţnost pravilnog formiranja KPI-a i njegovog utjecaja na poslovanje poduzeća. Odnosno ispitati utjecaj pravilnog formiranja ključnog indikatora performansi na unapreĎenje performansi poslovnih procesa i poslovanja, na primjeru eGovernmenta u 28 zemalja članica EU. Formiranjem KPI-a i statističkom analizom njihove meĎuovisnosti, dokazala se pozitivna linearna ovisnost parametara. Stoga se, na koncu, moţe potvrditi da je uvoĎenje sustava poslovne inteligencije u poduzeće i donošenje odluka pomoću ključnih pokazatelja, na temelju brzih i točnih informacija, iako financijski izdašno ipak isplativo. Poduzeća moraju moći pratiti današnji eksponencijalan razvoj ekonomije i tehnologije, brzo se prilagoĎavati i razvijati poslovanje. Nemaju vremena za dugo proučavanje i razmišljanje a još manje za intuitivne i pogrešne odluke, koje mogu značiti nestanak poduzeća.
Abstract (english)
Business intelligence and key performance ndicators (KPI) are used to measure performances of business processes and company business, to the end of making correct decisions and improving business. Many authors emphasize the importance of business intelligence and key performance indicators for business success and achieving market advantage, as well as company survival in the global market. This work is an attempt to both explain theoretically and study empirically the importance of proper KPI development and its influence on company business. We are studying the influence of properly formed key indicator performances on improving business process performances through the example of eGovernment in 28 EU member states. By forming the KPI and performing the statistical analysis of their relationship, a positive linear dependence of parameters has been proven. Therefore, it can be confirmed that introducing the business intelligence system in companies and introducing key indicators, based on quick and accurate information, into decision making process, although expensive, is still beneficial. Companies need to be able to follow the current exponential growth of the global economy and technology, adapt quickly and develop their business. There is no time for lengthy studies and considerations, and even less for intuitive and incorrect decisions, that can lead to company failure.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:124:866308
Study programmeTitle: Business Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra ekonomije (magistar/magistra ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-11-11 10:39:24