Abstract

Abstract: Building Information Modeling (BIM) has emerged as a powerful technology for managing complex construction projects, providing a way to streamline communication, increase collaboration, and improve project outcomes. However, one area where BIM implementation still requires improvement is data analysis. The quality of data provided by BIM software is critical for making informed decisions, optimizing workflows, and improving project outcomes. This research paper comprehensively reviews the latest advancements in BIM data analysis and visualization techniques. The paper discusses the benefits of data analysis in BIM workflows and provides a framework for implementing data analysis techniques. The paper also highlights the latest tools and techniques available for BIM data analysis and visualization and their potential applications in the construction industry. Additionally, the paper presents a case study to illustrate the implementation of BIM data analysis and visualization techniques in a real-world construction project. The findings of this research paper show that data analysis and visualization are essential for successful BIM implementation and for improving project outcomes. The paper concludes with recommendations for future research in this area, highlighting the need for continued exploration of new data analysis and visualization techniques and their applications in the construction industry.

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