Sistem poslovnega obveščanja v majhnih in srednje velikih podjetjih

Žemlič Horvat, Martina

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Title:	Sistem poslovnega obveščanja v majhnih in srednje velikih podjetjih
Authors:	ID Žemlič Horvat, Martina (Author) ID Bobek, Samo (Mentor) More about this mentor...
Files:	MAG_Zemlic_Horvat_Martina_2026.pdf (2,84 MB) MD5: 5DCEA6A03BB3FFFB2F73047978A39AE4
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	EPF - Faculty of Business and Economics
Abstract:	Magistrsko delo obravnava uporabo sistemov poslovnega obveščanja v majhnih in srednje velikih podjetjih v Sloveniji ter njihovo vlogo pri podpori poslovnemu odločanju. V sodobnem poslovnem okolju podjetja razpolagajo z vedno večjimi količinami podatkov, vendar je njihova vrednost odvisna predvsem od sposobnosti pretvorbe podatkov v pravočasne, razumljive in uporabne informacije. Posebna pozornost je namenjena načinu uporabe poslovnih podatkov, najpogosteje uporabljenim analitičnim orodjem, zaznanim koristim ter oviram, s katerimi se podjetja srečujejo pri uvajanju in uporabi sistemov poslovnega obveščanja. Rezultati kažejo, da slovenska majhna in srednje velika podjetja prepoznavajo pomen podatkovno podprtega odločanja, vendar se stopnja uporabe sistemov poslovnega obveščanja med njimi razlikuje. Najpogosteje uporabljajo Microsoft Excel in rešitve, vključene v sisteme ERP, spremljanje podatkov pa je usmerjeno predvsem v prihodke, stroške, prodajo, dobičkonosnost in zaloge. Srednje velika podjetja sisteme poslovnega obveščanja uporabljajo pogosteje kot majhna podjetja. Formalno določena oseba ali oddelek za analitiko se ni izkazal kot dejavnik višje zaznane uporabnosti teh sistemov. Med najpomembnejšimi ovirami izstopajo pomanjkanje časa, strokovnega znanja in ustreznih kadrov ter stroški implementacije. Ugotovitve potrjujejo, da uspešna uporaba sistemov poslovnega obveščanja ni odvisna le od tehnologije, temveč tudi od digitalnih kompetenc, organizacijskih zmogljivosti in pripravljenosti podjetja za odločanje na podlagi podatkov.
Keywords:	poslovno obveščanje, poslovna analitika, majhna in srednje velika podjetja, digitalna transformacija, poslovno odločanje
Place of publishing:	Maribor
Publisher:	M. Žemlič Horvat]
Year of publishing:	2026
PID:	20.500.12556/DKUM-98752
UDC:	659.23:004
COBISS.SI-ID:	291165187
Publication date in DKUM:	15.09.2026
Views:	145
Downloads:	2
Metadata:
Categories:	EPF
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Licences

License:	CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International

Link:	http://creativecommons.org/licenses/by-nc/4.0/
Description:	A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:	06.07.2026

Secondary language

Language:	English
Title:	Business intelligence in small and medium sized companies
Abstract:	The master’s thesis examines the use of business intelligence systems in small and medium-sized companies in Slovenia and their role in supporting business decision-making. In the contemporary business environment, companies have access to increasing volumes of data, but its value depends primarily on their ability to transform it into timely, understandable, and useful information. Particular attention is given to the use of business data, the most commonly applied analytical tools, the perceived benefits, and the barriers companies face when implementing and using business intelligence systems. The findings show that Slovenian small and medium-sized companies recognise the importance of data-driven decision-making, although the level of business intelligence adoption varies among them. Microsoft Excel and solutions integrated into companies resource planning systems are the most frequently used tools, while data monitoring is primarily focused on revenue, costs, sales, profitability, and inventory. Medium-sized companies use business intelligence systems more frequently than small companies. Having a formally designated person or department responsible for analytics was not found to be associated with a higher perceived usefulness of these systems. The most significant barriers include a lack of time, expertise, and adequately qualified employees, as well as implementation costs. The findings confirm that successful use of business intelligence systems depends not only on technology but also on digital competencies, organisational capabilities, and the company’s readiness to make decisions based on data.
Keywords:	business intelligence, business analytics, small and medium-sized companies, digital transformation, business decision-making

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