Vizualizacija rezultatov podatkovne analitike z uporabo modelov BIM za izboljšano sprejemanje odločitev

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.

Publication Details

Journal
Repository of the University of Ljubljana (University of Ljubljana)
Published
2025-09-23
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vizualizacija rezultatov podatkovne analitike z uporabo modelov BIM za izboljšano sprejemanje odločitev

Repository of the University of Ljubljana (University of Ljubljana)
BIM and Construction Integration
article

Vizualizacija rezultatov podatkovne analitike z uporabo modelov BIM za izboljšano sprejemanje odločitev

article en

Abstract

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.

Repository of the University of Ljubljana (University of Ljubljana)
Industry, innovation and infrastructure
Openalex Percentile: Top 44%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Vizualizacija rezultatov podatkovne analitike z uporabo modelov BIM za izboljšano sprejemanje odločitev · Repository of the University of Ljubljana (University of Ljubljana) (2025) | TGRS Research Map | TGRS