20.500.12556/DKUM-99111 Pomen podatkovne analitike in umetne inteligence pri poslovnem odločanju The importance of data analytics and artificial intelligence in business decision-making Sodobno poslovno okolje zaznamujejo hitre tehnološke spremembe, digitalizacija poslovnih procesov in vse večja količina podatkov, ki pomembno vplivajo na način sprejemanja poslovnih odločitev. Podatkovna analitika in umetna inteligenca postajata ključni orodji za podporo odločanju, saj podjetjem omogočata učinkovitejšo obdelavo podatkov, prepoznavanje vzorcev, napovedovanje trendov ter izboljšanje kakovosti in hitrosti odločanja. V diplomskem delu je obravnavan pomen podatkovne analitike in umetne inteligence pri poslovnem odločanju ter njun vpliv na sodobne pristope managementa in digitalnega odločanja v podjetjih. Delo temelji na pregledu domače in tuje znanstvene ter strokovne literature s področja podatkovne analitike, umetne inteligence in poslovnega odločanja. Posebna pozornost je namenjena povezavi med podatkovno analitiko in umetno inteligenco, njunim prednostim, omejitvam ter vplivu na organizacijsko kulturo, procese odločanja in vlogo managementa. Obravnavani so tudi etični izzivi, povezani z uporabo umetne inteligence v podjetjih, kot so transparentnost, pristranskost podatkov in odgovornost pri sprejemanju odločitev. Ugotovitve diplomskega dela kažejo, da lahko učinkovita uporaba podatkovne analitike in umetne inteligence pomembno prispeva k izboljšanju poslovnega odločanja, večji konkurenčnosti podjetij ter uspešnejšemu prilagajanju spremembam v digitalnem poslovnem okolju. Hkrati pa uspešna implementacija teh tehnologij zahteva ustrezno organizacijsko kulturo, razvoj kompetenc zaposlenih ter premišljeno vključevanje tehnologij v procese managementa. Modern business environments are characterized by rapid technological changes, the digitalization of business processes, and an increasing amount of data that significantly influence business decision-making. Data analytics and artificial intelligence are becoming key tools for decision support, enabling companies to process data more efficiently, identify patterns, predict trends, and improve the quality, speed, and reliability of decision-making. This thesis examines the importance of data analytics and artificial intelligence in business decision-making and their impact on modern management approaches, digital transformation, and data-driven management. The thesis is based on a review of domestic and international scientific and professional literature in the fields of data analytics, artificial intelligence, management, and business decision-making. Special attention is given to the relationship between data analytics and artificial intelligence, their advantages, limitations, and influence on organizational culture, decision-making processes, and the role of management. Ethical and organizational challenges related to the use of artificial intelligence, such as data bias, transparency, accountability in decision-making, and the need for the development of employee competencies, are also discussed. The findings indicate that the effective use of data analytics and artificial intelligence can significantly contribute to improved business decision-making, increased competitiveness, and better adaptation to changes in the digital business environment. At the same time, the successful implementation of these technologies requires an appropriate organizational culture, the development of a data-driven culture, and thoughtful integration of modern technologies into management processes. podatkovna analitika umetna inteligenca poslovno odločanje digitalna transformacija data-driven management. data analytics artificial intelligence business decision-making digital transformation data-driven management. true true false M. Berden] Slovenski jezik Angleški jezik Diplomsko delo/naloga 2026-07-31 19:58:41 2026-09-07 11:07:46 2026-09-08 03:09:20 0000-00-00 00:00:00 2026 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 005:004.6/.7 290185731 VS_Berden_Matija_2026.pdf VS_Berden_Matija_2026.pdf 1 AE82C2EBE4B70F623B26430A59684FFE 0b2ff94efde0d1677c31851b5eec15d36462eb309952285ae438005af8ce7903 434a9e2b-a55d-11f1-b1f1-00155d0001be https://dk.um.si/Dokument.php?lang=slv&id=211073 Ekonomsko-poslovna fakulteta 0 0 0