prikaz prve stranice dokumenta Primjena prediktivne analitike u kontrolingu
Access restricted to students and staff of home institution
undergraduate thesis
Primjena prediktivne analitike u kontrolingu
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics in Osijek, 2018. urn:nbn:hr:145:940732
Nedić, Andrea
Josip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
Chair of Finance and Accounting

Institutional repository: EFOS REPOSITORY

Cite this document

Nedić, A. (2018). Primjena prediktivne analitike u kontrolingu (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:145:940732

Nedić, Andrea. "Primjena prediktivne analitike u kontrolingu." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:940732

Nedić, Andrea. "Primjena prediktivne analitike u kontrolingu." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:145:940732

Nedić, A. (2018). 'Primjena prediktivne analitike u kontrolingu', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:145:940732

Nedić A. Primjena prediktivne analitike u kontrolingu [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Economics and Business in Osijek; 2018 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:145:940732

A. Nedić, "Primjena prediktivne analitike u kontrolingu", Undergraduate 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:145:940732

Metadata
TitlePrimjena prediktivne analitike u kontrolingu
Title (english)Application of predictive analytics in controlling
AuthorAndrea Nedić
MentorDomagoj Sajter (mentor)
Committee memberDomagoj Sajter (predsjednik povjerenstva)
Committee memberHrvoje Serdarušić (član povjerenstva)
Committee memberIvan Kristek (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Economics and Business in Osijek
(Chair of Finance and Accounting)
Osijek
Defense date and country2018-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Economics
Organization and Management
Abstract
U ovom radu je opisan proces digitalizacije kroz koji trenutno prolazi poslovni svijet prolazi, koji podrazumijeva prelazak s klasičnih poslovnih instrumenata i ručni rad na nove alate koji ubrzavaju poslovne procese i nude automatska rješenja. Definiran je pojam prediktivne analitike kao sastavnog dijela digitalizacije, predstavljen je postupak implementiranja iste metode u poduzeće te su navedeni rizici i prilike koji dolaze sa primjenom metode. Nadalje se predstavlja kontroling kao poslovno područje unutar poduzeća sa njegovim temeljnim funkcijama i instrumentima koje koristi. Glavni cilj rada je predstavljanje mogućnosti koje kontroling ima uvođenjem prediktivne analitike. Analiziraju se dva primjera uspješnog uvođenja prediktivne analitike u kontroling unutar korporacije IBM. U primijenjenom dijelu rada se predstavlja trenutna situacija unutar poduzeća Robert Bosch d.o.o. po pitanju implementiranja promatrane metode. Navode se poslovna područja u kojima se primjenjuje te u konačnici se prikazuje vizualan prikaz prediktivne prognoze u području prodaje.
Abstract (english)
This bachelor thesis describes the process of digitalization in which the business world is currently engaged. This includes the transition from classical work instruments and manual work to new tools that accelerate processes and provide automated solutions. Predictive analytics is defined as a component of digitization, the implementation of the above mentioned methods in a company is presented, and the risks and opportunities that predictive analytics entails are mentioned. Furthermore, controlling is described as a business area with its functions and tools used by the controller. The purpose of this work is to show the possibilities controlling has using predictive analytics. Two examples of successful implementation of predictive analytics into controlling are analysed, within the IBM. In the last part of the paper, the status quo at Robert Bosch is presented in context with the implementation of predictive analytics. Business areas that already use the method are described. This is followed by a visual representation of a predictive forecast in the sales area.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:145:940732
Study programmeTitle: Financial 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 conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2019-01-10 13:46:21