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master's thesis
Sustavi poslovne inteligencije u bankarstvu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2018. urn:nbn:hr:145:753732
Martinović, Tomislav
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Quantitative Methods and Informatics

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Martinović, T. (2018). Sustavi poslovne inteligencije u bankarstvu (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:145:753732

Martinović, Tomislav. "Sustavi poslovne inteligencije u bankarstvu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:753732

Martinović, Tomislav. "Sustavi poslovne inteligencije u bankarstvu." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:753732

Martinović, T. (2018). 'Sustavi poslovne inteligencije u bankarstvu', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 08 December 2024, https://urn.nsk.hr/urn:nbn:hr:145:753732

Martinović T. Sustavi poslovne inteligencije u bankarstvu [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2018 [cited 2024 December 08] Available at: https://urn.nsk.hr/urn:nbn:hr:145:753732

T. Martinović, "Sustavi poslovne inteligencije u bankarstvu", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:145:753732

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Metadata
TitleSustavi poslovne inteligencije u bankarstvu
Title (english)Intelligence systems in banking
AuthorTomislav Martinović
MentorMarijana Zekić Sušac (mentor)
Committee memberMarijana Zekić Sušac (predsjednik povjerenstva)
Committee memberMartina Briš Alić (član povjerenstva)
Committee memberĐula Borozan (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 country2018-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Informatics
Abstract
Svrha rada je objasniti pojam poslovne inteligencije te njezinu važnosti u modernom poslovanju. Objasniti kako se poslovna inteligencija koristi u bankarskom sektoru poslovanja cilj je rada. Kako bi stekle ili održale konkurentsku prednost kompanije danas moraju koristiti sve raspoložive alate vezane za obradu sve većeg broja informacija. Poslovna inteligencija jedan je širok pojam koji se može primijeniti na gotovo bilo koju domenu ljudske djelatnosti. U ovome radu prikazan je razvojni put poslovne inteligencije od svojih početaka pa do danas. Definirani su osnovni pojmovi vezani za poslovnu inteligenciju, načini prikupljanja i obrade podataka te izrade izvještaja koji su u današnje vrijeme okosnica donošenja ključnih poslovnih odluka. Pojmovi kao što su skladište podataka, big data, internet of things(Ios), OLAP i drugi bitni pojmovi vezani za poslovnu inteligenciju također su jasno definirani. Osim općenite važnosti poslovne inteligencije u suvremenom poslovanju ovaj rad pobliže se fokusira na jednu granu poslovanja-bankarstvo. Načini segmentacije klijenata i donošenja odluka baziranih isključivo na analizi podataka iz baze podataka prikazani su u praktičnom dijelu rada tj. u rezultatima istraživanja. Jedan od alata poslovne inteligencije su neuronske mreže i stabla odlučivanja. Ovi pojmovi pobliže su teorijski objašnjeni te prikazani na praktičnom primjeru klasifikacije klijenata banke koji traže kredit. U ovu svrhu korišten je program za analizu podataka Statistica koji korisnicima omogućuje rudarenje i analizu podataka, strojno učenje te izrade izvještaja baziranih na korištenim podatcima.
Abstract (english)
Purpose of this paper is to define the concept of business intelligence and its importance in today's business. Explaining importance of using business intelligence in modern bussinnes operations and how is it used on real data is a goal of this paper. In order to gain or maintain the competitive advantage companies today have to use all the tools available to handle constantly increasing input of information. Business intelligence is a broad term that can be applied to virtually any domain of human activity. This paper presents the developmental path of business intelligence from its beginnings to today. Basic concepts related to business intelligence, data collection and processing, and reporting that are the cornerstone of key business decisions are defined. Terms such as data warehouse, big data, internet of things (ios), OLAP and other essential business intelligence related terms are also clearly defined. In addition to the general importance of business intelligence in modern business, this paper focuses on one branch of business- banking business. The ways of customer segmentation and decision-making based solely on data analysis from the database are presented in the practical part of the work ie in the research results. One of the tools of business intelligence are neural networks and decision trees. These terms are described in more detail and are presented in a practical example of client credit rating. For this purpose, a data analysis program Statistica was used that provides users with data mining and analysis, machine learning, and reporting capabilities based on datas used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:753732
Study programmeTitle: Entrepreneurship
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 on2019-02-07 08:23:08