With technology advancements, construction data has become more accessible. Data is collected through sources such as sensors, wearables, design plans, etc. However, according to a recent report by FMI, 90% of the data generated in construction is unstructured, and 96% of all data goes unused in the engineering and construction (E&C) industry. Meanwhile, the potential use of data for near-real-time decision making is enabled through machine learning and data analytics, which provides a great upside for the construction industry to explore how to leverage the power of data and to make the results more presentable. This presentation aims to (1) provide an overview of data analytics (tools and methods) across the construction industry and other related industries; (2) showcase data analytics research and practice in construction; and (3) present a roadmap for conducting data and visualization-related research for construction companies.
Zhen Lei is an assistant professor in the department of civil engineering, the OSCO Research Chair in Off-site Construction and scientific director of the Off-site Construction Research Centre (OCRC) at the University of New Brunswick.
With technology advancements, construction data has become more accessible. Data is collected through sources such as sensors, wearables, design plans, etc. However, according to a recent report by FMI, 90% of the data generated in construction is unstructured, and 96% of all data goes unused in the engineering and construction (E&C) industry. Meanwhile, the potential use of data for near-real-time decision making is enabled through machine learning and data analytics, which provides a great upside for the construction industry to explore how to leverage the power of data and to make the results more presentable. This presentation aims to (1) provide an overview of data analytics (tools and methods) across the construction industry and other related industries; (2) showcase data analytics research and practice in construction; and (3) present a roadmap for conducting data and visualization-related research for construction companies.
