Construction Industry Capacity Evaluation: Using Business Intelligence for Data-Driven Insights

Access to reliable capacity insights is critical for stakeholders in the construction industry, yet planning often suffers from uncertainties and inconsistent data. The goal of this research is to leverage data-driven business intelligence tools to evaluate and optimise the interplay of supply and demand in the construction industry, addressing capacity challenges while providing actionable insights for informed decision-making and strategic planning. This study adopts a mixed-methods approach, combining bibliometric analysis, a literature review, and a case study of Auckland, New Zealand. Using business intelligence tools, the research examines seasonal trends in project initiations and completions, resource inefficiencies, and contractor dependencies. The findings confirm the prevalence of boom-bust cycles and reliance on external contractors during peak periods. Despite limitations in data standardisation, this study demonstrates the potential of business intelligence tools to improve capacity planning and resource allocation.