The challenges of quantity surveyors in assessing the usage of big data during the management of construction / Nur Athirah Azman and Shahela Mamter

• Main Authors: Azman, Nur Athirah, Mamter, Shahela
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Management of the construction site. Superintendence of building construction
• Online Access: https://ir.uitm.edu.my/id/eprint/98024/1/98024.pdf; https://ir.uitm.edu.my/id/eprint/98024/

Big data is the process of gathering large amounts of data and analyzing it thoroughly to generate significant findings. By extracting the vast amount of data acquired, a few possibilities in the form of valuable insights may be produced. Despite this, past studies focusing on the potential application of big data, particularly in the construction sector, has not been done. Therefore, the expanded roles of Quantity Surveyors in assessing the usage of big data have become increasingly significant in the field of construction and project management. The objective of this study to determine the challenges faced by Quantity Surveyors in exposing of big data. A quantitative approach is used in this research and the data collected by using questionnaires survey to Quantity Surveyors consultant in Selangor, which allowed for comprehensive data collection. The key finding challenges revealed faced by Quantity Surveyors are the lack of knowledge, skills and understanding, lack of data sharing culture, lack of technology infrastructure, internet connection stability, data inaccurate and incomplete, complexity of data integration and only government initiatives available. Therefore, it is important for Quantity Surveyors to overcome these challenges to harness the full potential of big data. This study emphasizes the need for professional development and the integration of big data practices in the Quantity Surveying profession.