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Title:Uporaba orodja Power BI za analizo demografskih podatkov s ciljem izboljšanja uspešnosti prodaje
Authors:ID Mešanović, Medina (Author)
ID Kljajić Borštnar, Mirjana (Mentor) More about this mentor... New window
Files:.pdf UN_Mesanovic_Medina_2025.pdf (1,30 MB)
MD5: 49FCDEBB99583E0D0D0E9A37201F72B1
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Diplomsko delo obravnava uporabo orodja Power BI za analizo demografskih podatkov z namenom podpore podatkovno podprtemu odločanju v trženju. Namen dela je prikazati, kako lahko podjetja z analizo demografskih in vedenjskih vzorcev sprejemajo učinkovitejše marketinške odločitve in izboljšajo prodajno uspešnost. Raziskava temelji na simuliranem naboru podatkov, ki so bili najprej analizirani v Excelu, nato pa vizualizirani v orodju Power BI. Uporabljene metode vključujejo deskriptivno statistiko, primerjavo skupin in interaktivne prikaze za prepoznavanje vzorcev. Rezultati kažejo, da vizualna analiza omogoča boljše razumevanje ciljne skupine in olajša sprejemanje strateških odločitev. Zaključki poudarjajo pomen vključevanja sodobnih analitičnih orodij v trženjske procese in priporočajo širšo uporabo orodja Power BI v poslovnem okolju.
Keywords:Excel, Power BI, podatkovna analitika, demografski podatki, trženjsko odločanje
Place of publishing:Maribor
Year of publishing:2025
PID:20.500.12556/DKUM-95167 New window
COBISS.SI-ID:254127363 New window
Publication date in DKUM:21.10.2025
Views:168
Downloads:31
Metadata:XML DC-XML DC-RDF
Categories:FOV
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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:08.09.2025

Secondary language

Language:English
Title:Using Power BI tool for Demographic Data Analysis to Improve Sales Performance
Abstract:The thesis explores the use of Power BI for analyzing demographic data with the aim of supporting data-driven decision-making in marketing. The purpose of the study is to demonstrate how companies can make more effective marketing decisions and improve sales performance by analyzing demographic and behavioral patterns. The research is based on a simulated dataset, which was initially analyzed in Excel and later visualized in Power BI. The applied methods include descriptive statistics, group comparisons, and interactive visualizations to identify patterns. The results show that visual data analysis enables a better understanding of the target audience and facilitates strategic decision-making. The conclusions highlight the importance of integrating modern analytical tools into marketing processes and recommend broader use of Power BI in business environments.
Keywords:Excel, Power BI, data analytics, demographic data, marketing decision-making


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