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Exploring the Effectiveness of Big Data in Profitability of Construction Projects
- 1 University College London
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Abstract
The complexity of construction projects is generally high, requiring the collection and processing of data from diverse sources. Big data-based analytics and technologies can help such a project in different ways to improve profitability. However, their use comes with inherent risks, particularly concerning data security and accuracy. Data accuracy is a concern, as it directly impacts the credibility and reliability of Big Data analytics outcomes. The research examines the effectiveness of Big Data in the profitability of construction projects through extensive literature review and case analysis. Findings highlight that data accuracy is a key determinant of profitability in this context. Construction firms need to enforce policies and procedures to ensure data quality, credibility and accuracy while performing data collection. With accurate data, firms can leverage analytics to make informed, data-driven decisions that drive project success.
Keywords
Big Data analytics, construction projects, BIM, construction project profitability
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Cite this article
Yang,H. (2025). Exploring the Effectiveness of Big Data in Profitability of Construction Projects. Applied and Computational Engineering,120,209-213.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning
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