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Title:Uporaba orodja Power BI za učinkovitejše spremljanje in poročanje projektov v podjetju x
Authors:ID Lekše, Tali (Author)
ID Perko, Igor (Mentor) More about this mentor... New window
Files:.pdf MAG_Lekse_Tali_2026.pdf (3,35 MB)
MD5: 3E44E8DFA93123D65BB6EBB9A41737ED
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:EPF - Faculty of Business and Economics
Abstract:Podatki predstavljajo enega ključnih virov informacij za učinkovito upravljanje podjetij in sprejemanje poslovnih odločitev. Kljub temu v številnih organizacijah proces zbiranja, obdelave in poročanja podatkov še vedno temelji na tradicionalnih pristopih. Posamezni oddelki pogosto vodijo lastne evidence v preglednicah, najpogosteje v programu Excel, vodje oddelkov pripravljajo periodična poročila, računovodstvo pa skrbi za urejanje in konsolidacijo finančnih podatkov. Ker ima vsak oddelek svoje načine spremljanja podatkov in lastne strukture tabel, so informacije pogosto razpršene, nepovezane ter dostopne le določenim uporabnikom. Posledično so podatki zastareli, celovit vpogled v poslovanje podjetja pa omejen. Z razvojem digitalnih tehnologij in poslovne analitike se podjetja vse bolj usmerjajo v avtomatizacijo procesov obdelave podatkov ter vzpostavitev centraliziranih informacijskih sistemov. Na ta način lahko oddelki hitreje dostopajo do relevantnih informacij, ter izboljšujejo transparentnost poslovanja ter podpira bolj informirano odločanje. Avtomatizacija analitičnih procesov zmanjšuje potrebo po ročnem delu, odpravlja podvajanje podatkov ter povečuje učinkovitost organizacije. Podjetjem omogoča prihranek časa, boljše upravljanje virov ter večjo usmerjenost v strateške aktivnosti, kar prispeva k izboljšanju konkurenčnosti in ustvarjanju večje dodane vrednosti.
Keywords:Orodje Power BI, IT, projektno vodenje, avtomatizacija podatkov, ključni kazalniki uspešnosti.
Place of publishing:Maribor
Publisher:T. Lekše]
Year of publishing:2026
PID:20.500.12556/DKUM-97602 New window
UDC:004.4/.6
COBISS.SI-ID:278491139 New window
Publication date in DKUM:18.05.2026
Views:128
Downloads:26
Metadata:XML DC-XML DC-RDF
Categories:EPF
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:24.03.2026

Secondary language

Language:English
Title:Using Power BI for more efficient project monitoring and reporting at company x
Abstract:Data is one of the key sources of information for effective business management and decision-making. However, in many organizations, the process of collecting, processing and reporting data is still based on traditional approaches. Individual departments often keep their own records in spreadsheets, most often in Excel, department heads prepare periodic reports, and accounting takes care of editing and consolidating financial data. Since each department has its own methods of monitoring data and its own table structures, information is often scattered, disconnected and accessible only to certain users. As a result, data is outdated, and comprehensive insight into the company's operations is limited. With the development of digital technologies and business analytics, companies are increasingly focusing on automating data processing processes and establishing centralized information systems. In this way, departments can access relevant information faster, improve business transparency, and support more informed decision-making. Automation of analytical processes reduces the need for manual work, eliminates data duplication, and increases organizational efficiency. It allows companies to save time, better manage resources, and focus more on strategic activities, which contributes to improving competitiveness and creating greater added value.
Keywords:Power BI tool, IT, project management, data automation, key performance indicators


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