The Architecture, Engineering, Construction, and Operation (AEC-O) industry is undergoing a digital transformation, particularly in the operation phase of buildings, where effective tools for real-time monitoring and performance analysis are still lacking. Digital twins offer an integrated approach to combining real-time sensor data with analytics, yet current implementations are often complex and proprietary, limiting accessibility for multidisciplinary stakeholders. This study explores the potential of Power BI as a cooperative and accessible front-end platform for digital twins that supports building performance visualisation and data-driven decision-making. Unlike traditional tools and static reporting, Power BI enables dynamic exploration of real-time and historical data via interactive dashboards. These dashboards allow end-users to filter, drill down, and interact, while cloud-based features support multi-user collaboration and continuous updates. Two digital twins were developed for buildings in Norway and Spain with IoT sensors monitoring environmental parameters. This paper presents the system architecture of a developed artefact and demonstrates its deployment in these two cases. Furthermore, the artefact’s capability to provide insights into building performance is evaluated. By integrating data-driven insights into an accessible visualisation environment, this work contributes a practical digital twin solution tailored to the needs of the AEC-O domain.