prikaz prve stranice dokumenta DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA
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master's thesis
DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA
2017. urn:nbn:hr:165:269373
Tutić, Kristijan
Virovitica University of Applied Sciences

Cite this document

Tutić, K. (2017). DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA (Master's thesis). Virovitica: Virovitica University of Applied Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:165:269373

Tutić, Kristijan. "DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA." Master's thesis, Virovitica University of Applied Sciences, 2017. https://urn.nsk.hr/urn:nbn:hr:165:269373

Tutić, Kristijan. "DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA." Master's thesis, Virovitica University of Applied Sciences, 2017. https://urn.nsk.hr/urn:nbn:hr:165:269373

Tutić, K. (2017). 'DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA', Master's thesis, Virovitica University of Applied Sciences, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:165:269373

Tutić K. DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA [Master's thesis]. Virovitica: Virovitica University of Applied Sciences; 2017 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:165:269373

K. Tutić, "DATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA", Master's thesis, Virovitica University of Applied Sciences, Virovitica, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:165:269373

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Metadata
TitleDATA MINING KAO PODRŠKA PROCESU DONOŠENJA ODLUKA
Title (english)DATA MINING AS SUPPORT FOR THE DECISION-MAKING PROCESS
AuthorKristijan Tutić
MentorDamir Ribić (mentor)
GranterVirovitica University of Applied Sciences
Virovitica
Defense date and country2017-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Abstract
Razvojem tehnologije, svakodnevno se pojavljuju nove mogućnosti za organizacije na suvremenom trţištu. Integriranjem više tehnologija, organizacije mogu ostvariti značajnu konkurentsku prednost i pronaći načine za donošenje kvalitetnih poslovnih odluka, bez obzira na okolnosti u kojima se odluke donose. U uvjetima, gdje se zbog velikih količina podataka i informacija ne moţe kvalitetno donijeti odluka neophodna je primjena odgovarajuće tehnologije. Sustavi za potporu odlučivanju predstavljaju već razvijene i uspostavljenje sustave koji se koriste u svakodnevnom poslovanju. Sustavi za potporu odlučivanju mogu se definirati kao interaktivni informacijski sustavi koji menadţmentu ili korisniku mora osigurati podršku u procesu pronalaţenja najboljeg rješenja za različite probleme odlučivanja. Sa ciljem poboljšanja sustava i njegove potpore novim izazovima na trţištu potrebna je integracija sa drugim suvremenim tehnikama i alatima za potporu odlučivanju. Rudarenje podataka proširuje mogućnosti za otkrivanje informacija, trendova i uzoraka korištenjem različitih modela za razliku od uobičajenih statističkih metoda, pa su stoga prikladni za pretvaranje rezultata u informacije razumljivim za sve vrste poslovnih korisnika. Rudarenje podataka i sustavi za potporu odlučivanju stvaraju nova rješenja za donošenje pravovremenih, adekvatnih i konkurentnijih menadţerskih odluka. Bankarski sektor uvidio je potencijal ovih tehnologija kroz brojne segmente svojeg poslovanja. U ovom radu se navode područja primjene rudarenja podataka i sustava za potporu odlučivanju na primjeru banaka.
Abstract (english)
With the development of technology, new opportunities are emerging on a daily basis for organizations in the modern market. By integrating more technologies, organizations can achieve a significant competitive edge and find ways to make quality business decisions without taking into account the conditions under which decisions are made. In such conditions, where due to large amounts of data and information one cannot make quality decisions, it is necessary to apply the appropriate technology. Decision support systems represent an already developed and established systems used in day-to-day business. Decision support systems can be defined as interactive information systems that must provide management or user support in the process of finding the best solution for different decision-making problems. In order to improve the system and its support for new market challenges, integration with other contemporary techniques and decision support tools are needed. Data mining extends opportunities to detect information, trends, and patterns using different models as opposed to standard statistical methods and is therefore suitable for converting results into user-friendly information for all types of business users. Data mining and decision support systems create new solutions for making timely, adequate and competitive managerial decisions. The banking sector has seen the potential of these technologies through numerous segments of its business This paper outlines the areas of application of data mining and support systems decided on the example of banks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:165:269373
Study programmeTitle: Management: Destination Management, Management of Small and Medium-Sized Enterpriseses; specializations in: Destination Management, Management in Small and Medium-Sized Enterprises
Course: Management in Small and Medium-Sized Enterprises
Study programme type: professional
Study level: specialist graduate
Academic / professional title: stručni specijalist ekonomije (stručni specijalist ekonomije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-12-12 12:54:42