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undergraduate thesis
Sustavi poslovne inteligencije izvedeni naprednim Excel alatima
2019. urn:nbn:hr:137:119192
Dautović, Ivana
University of Pula
Faculty of Informatics in Pula

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Dautović, I. (2019). Sustavi poslovne inteligencije izvedeni naprednim Excel alatima (Undergraduate thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:119192

Dautović, Ivana. "Sustavi poslovne inteligencije izvedeni naprednim Excel alatima." Undergraduate thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:119192

Dautović, Ivana. "Sustavi poslovne inteligencije izvedeni naprednim Excel alatima." Undergraduate thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:119192

Dautović, I. (2019). 'Sustavi poslovne inteligencije izvedeni naprednim Excel alatima', Undergraduate thesis, University of Pula, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:137:119192

Dautović I. Sustavi poslovne inteligencije izvedeni naprednim Excel alatima [Undergraduate thesis]. Pula: University of Pula; 2019 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:137:119192

I. Dautović, "Sustavi poslovne inteligencije izvedeni naprednim Excel alatima", Undergraduate thesis, University of Pula, Pula, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:137:119192

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Metadata
TitleSustavi poslovne inteligencije izvedeni naprednim Excel alatima
Title (english)Business intelligence systems with advanced Excel tools
AuthorIvana Dautović
MentorSiniša Sovilj (mentor)
Committee memberTihomir Orehovački (predsjednik povjerenstva)
Committee memberSiniša Sovilj (član povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2019-09-18, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
U ovom završnom radu, osvrnuli smo se na osnutak poslovne inteligencije te kako se usavršavala i koji su joj glavni elementi, a glavni cilj je bio predstaviti napredne Excel alate u poslovnoj inteligenciji. Započeli smo s prvim korakom: opisivanje pivot tablice iz koje se razvio alat Power Pivot koji ima puno više mogućnosti nego pivot tablica. Zatim, Power Map koja omogućuje geografsku perspektivu podataka. Power Query koji koristimo kako bi otkrili, povezali, kombinirali te pročistili izvore podataka kako bi se zadovoljile naše potrebe za analizom te Power View koji dohvaća podatke koji su mu potrebni u bilo kojem trenutku za vizualizaciju podataka. Dok posljednje poglavlje u ovom završnom radu se osvrće na data mining i koje mogućnosti pruža u Excelu.
Abstract (english)
In this final paper, we have adressed the foundations of business intelligence and it's elements, but the main goal was to introduce advanced Excel tools in business intelligence. The first step was describing pivot tables from which the Power Pivot tool evolved that has many more features than pivot tables. Next, a Power Map that provides a geographical perspective of the data. The Power Query, which is used to discover, connect, combine and refine data sources and then the Power View which retrieves the data it needs at any time to visualize the data. While the final chapter in this final paper looks at data mining and what features it provides in Excel.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:119192
Study programmeTitle: Informatics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-07-23 09:52:23