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undergraduate thesis
Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji
Pula: University of Pula, 2020. urn:nbn:hr:137:015449
Košutić, Ivona
University of Pula
Faculty of economics and tourism "Dr. Mijo Mirković"

Institutional repository: Digital Repository Juraj Dobrila University of Pula

Cite this document

Košutić, I. (2020). Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji (Undergraduate thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:015449

Košutić, Ivona. "Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:015449

Košutić, Ivona. "Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji." Undergraduate thesis, University of Pula, 2020. https://urn.nsk.hr/urn:nbn:hr:137:015449

Košutić, I. (2020). 'Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji', Undergraduate thesis, University of Pula, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:137:015449

Košutić I. Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji [Undergraduate thesis]. Pula: University of Pula; 2020 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:137:015449

I. Košutić, "Uloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji", Undergraduate thesis, University of Pula, Pula, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:137:015449

Metadata
TitleUloga deskriptivne statističke obrade podataka u poslovnoj ekonomiji
Title (english)The role of descriptive statistics in business economics
AuthorIvona Košutić
MentorKatarina Kostelić (mentor)
Committee memberMorena Paulišić (predsjednik povjerenstva)
Committee memberKatarina Kostelić (član povjerenstva)
Committee memberVanja Bevanda (član povjerenstva)
GranterUniversity of Pula
(Faculty of economics and tourism "Dr. Mijo Mirković")
Pula
Defense date and country2020-09-25, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Business Mathematics and Statistics
Abstract
Ovim radom prikazuje se deskriptivna statistička obrada podataka, zašto je ona važna te kako se primjenjuje u poslovnoj ekonomiji. Koriste se statističke analize, najčešće mjere disperzije, mjere središnje tendencije te mjere asimetrije i standardizirano obilježje. Izračuni tih pokazatelja stvaraju osnovu za donošenje informiranih i kvalitetnijih poslovnih odluka, što rezultira poboljšanjem poslovanja tvrtki. Rad je podijeljen na nekoliko cjelina. Na samom početku, čitatelja se uvodi u rad temeljnim statističkim pojmovima, a zatim u detaljniji prikaz deskriptivne statistike. Potom dolazi do svrhe i cilja. Istraživanja pokazuju deskriptivnu statističku obradu podataka na području oglašavanja, logistike, percepciji potrošača, menadžerskoj učinkovitosti i inovacijama, kao i korištenje big data u poslovnoj ekonomiji. Odabrani primjeri ukazuju na to da se pomoću izvršenih analiza dobivaju rezultati koji pomažu poduzećima da poboljšaju svoje nedostatke, mane pretvore u prednosti te povećaju profit.
Abstract (english)
This paper presents descriptive statistical data processing, why it is important and how it is applied in business economics. Statistical analyses, most common dispersion measures, measures of median tendency and asymmetry measures and standardised features were used. The calculation of these indicators creates the basis for making informed and better business decisions which in turn leads to improved business of a company. The paper is divided into several sections. The beginning of the paper introduces the basic statistical concepts as well as a more detailed presentation of descriptive statistics. After that, the purpose and goal of the paper are presented. Research included in the paper shows the descriptive statistical data processing in advertising, logistics, consumer perception, managerial efficiency and innovation as well as the use of big data in the business economy. Selected examples indicate that the results of the performed analyses provide help to the companies to improve their shortcoming, turn their drawbacks into advantages and increase profit.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:015449
Study programmeTitle: Business Economics; Finance, Economics, Financial Management, Management and Entrepreneurship, Marketing Management, Business Informatics, Tourism; specializations in: Finance, Accounting and Auditing, Marketing Management, Management and Entrepreneurship, Tourism, Business Informatics, Financial Management, Informatics Management
Course: Marketing Management
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) ekonomije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2022-04-01 11:04:22