A CONCEPTUAL INTEGRATION OF 5D BIM AND BIG DATA ANALYTICS FOR ENHANCED PROJECT COST MANAGEMENT
DOI:
https://doi.org/10.35631/JISTM.1143004Keywords:
Big Data Analytics, Project Cost Management, Solution, 5D Building Information ModellingAbstract
Project cost management (PCM) is crucial for achieving cost efficiency and financial control in construction projects. However, persistent issues remain such as the reliance on outdated and incomplete historical data, which often leads to inaccurate cost estimation and forecasting. While 5D Building Information Modelling (BIM) offers improvement in cost data integration, it struggles when managing large and complex datasets. Big data analytics (BDA) has therefore been proposed as a complementary approach to enhance BIM capabilities by enabling advanced data processing and predictive analytics. However, the conceptual relationships between 5D BIM, BDA and PCM remain insufficiently explored in existing literature. This gap highlights the need for a better understanding of their integration. Therefore, the present study reviews and synthesizes existing literature on 5D BIM, BDA and PCM to develop a theoretical framework that highlights the key components and potential benefits of their integration. The findings provide a foundation for future empirical research and support decision-makers in evaluating the strategic value of investing in BDA to enhance BIM-enabled project cost management.
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