20.500.12556/RUL-173785 Visualization of data analytics using BIM models for enhanced decision-making master thesis Vizualizacija rezultatov podatkovne analitike z uporabo modelov BIM za izboljšano sprejemanje odločitev magistrsko delo While analytics are now fundamental for guiding investment and operations in modern infrastructure, a significant disconnect persists. Despite the widespread adoption of Business Intelligence (BI) tools, the strategic potential of Building Information Modelling (BIM) remains largely untapped within analytic workflows, particularly in the energy transmission and distribution sector. The present work focuses on tackling this implementation gap. It details the design and deployment of an original, BIM-connected analytics pipeline developed for ELES, Slovenia’s transmission system operator. The core of this work establishes a robust link between existing BIM models and enterprise data within Microsoft Power BI. This connection is forged through stable identifiers, primarily the organization's own alphanumerical tags filled into the models, supplemented where possible by the universal IfcGUID. The research operationalizes and critically compares four distinct technical pathways for this integration: VCAD, the Autodesk Data Connector, Speckle and Flinker Connectors. The main contributions of this work are many. It provides a reproducible blueprint for integrating BIM with Power BI in a live operational environment. It establishes a transparent, organization-specific mapping strategy for identifiers. The findings equip ELES and similar entities with actionable insights for embedding rich spatial context into their analytics, ultimately enabling a shift from reactive oversight to earlier, data-informed decision-making. Strateški potencial informacijskega modeliranja gradenj (BIM) v analitičnih delotokih ostaja večinoma neizkoriščen, zlasti v sektorju prenosa in distribucije energije. Kljub široki uporabi orodij poslovne inteligence (BI) primanjkuje učinkovite povezave med prostorskimi podatki iz modelov BIM in poslovnimi podatki. To magistrsko delo obravnava to vrzel z zasnovo in predlaga nov analitični sistem za podjetje ELES, operater prenosnega sistema v Sloveniji. Jedro rešitve je vzpostavitev robustne povezave med obstoječimi modeli BIM in platformo Microsoft Power BI. Povezava temelji na stabilnih identifikatorjih – primarno na internih alfanumeričnih oznakah, vnesenih v modele, in sekundarno na globalnih identifikatorjih (IfcGUID). V okviru raziskave so bile implementirane in kritično ovrednotene štiri tehnične poti za integracijo: VCAD, Autodesk Data Connector, Speckle in Flinker Connectors. Glavni prispevki dela so: (1) ponovljiv načrt za integracijo podatkov BIM s Power BI v realnem operativnem okolju, (2) transparentna strategija za preslikavo identifikatorjev in (3) praktični vpogledi, ki podjetju ELES in podobnim organizacijam omogočajo prehod od reaktivnega nadzora k proaktivnemu, podatkovno podprtemu odločanju. master thesis building information modelling (BIM) data analytics (DA) real-time data integration Power BI BIM & Power BI BIM dashboard magistrska dela informacijsko modeliranje stavb (BIM) analiza podatkov (DA) integracija podatkov v realnem času nadzorna plošča BIM true false false [I. Silva Guilherme] Angleški jezik Slovenski jezik Magistrsko delo/naloga 2025-09-23 08:46:21 2025-09-23 08:46:25 2025-11-12 03:51:10 0000-00-00 00:00:00 2025 0 Ljubljana 2025 Ljubljana 1 spletni vir (1 datoteka PDF (XVIII, 63 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004:69(043.2) 174762 250565635 19702.pdf 19702.pdf 1 A84629AC7B7875F6236AA21956DB40DD fadcd1dc47883071367259e98cd00f189c4d9b3e6fd516feae7fd54c372ed614 d6e5244e-9848-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=218444 Fakulteta za gradbeništvo in geodezijo 0 0 0