20.500.12556/DKUM-98752 Sistem poslovnega obveščanja v majhnih in srednje velikih podjetjih Business intelligence in small and medium sized companies 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. 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. poslovno obveščanje poslovna analitika majhna in srednje velika podjetja digitalna transformacija poslovno odločanje business intelligence business analytics small and medium-sized companies digital transformation business decision-making true true false M. Žemlič Horvat] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2026-07-06 12:57:30 2026-09-15 13:30:04 2026-09-16 03:11:24 0000-00-00 00:00:00 2026 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 659.23:004 291165187 MAG_Zemlic_Horvat_Martina_2026.pdf MAG_Zemlic_Horvat_Martina_2026.pdf 1 5DCEA6A03BB3FFFB2F73047978A39AE4 94787f388117372e707a19b9576ac313e693843365848001532a39a10e5e4f7a 8d147e56-ace8-11f1-b668-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=212039 Ekonomsko-poslovna fakulteta 0 0 0