As digital technology is embraced for data capture and reporting, focus often shifts towards data quantity over quality. With Artificial Intelligence (AI) becoming a transformative tool, the risk of "garbage in, garbage out" makes reliable data more critical than ever.
The construction industry is at a turning point, facing stricter safety regulations, sustainability targets, and net-zero commitments, all of which depend on accurate data. Poor-quality data can cause inefficiencies, safety risks, and hinder sustainability efforts.
This report evaluates six years of data—over 1 million data points—assessing data quality in material deliveries and waste removals. Since materials account for 40% of project budgets and 90% of the industry's carbon emissions, better data can help cut costs, save time, and reduce environmental impact.
The goal of this report is to inspire a sector-wide commitment to data quality, ensuring that the industry can effectively use AI, meet sustainability goals, and operate more safely and efficiently.