Data-Driven Decision Making: Business Intelligence In Construction Management Efficiency

Construction SMEs face ongoing challenges in cost control, schedule adherence, and resource efficiency despite generating large volumes of data. This work hypothesis that integrating Business Intelligence (BI) into an existing Enterprise Resource Planning (ERP) system improves management efficiency by transforming fragmented data into actionable information. The relevance of this approach is justified by the sector’s high levels of material waste and decision-making inefficiencies, often caused by limited analytical support. The main goal of this work is to design, implement, and validate a BI module tailored to the specific needs of construction SMEs, complementing a pre-existing ERP platform. The solution was developed using a C#/.NET backend with Entity Framework Core and MySQL, and a React/TypeScript frontend with Ant Design, following an agile methodology. The final system provides interactive dashboards focused on budget execution, global performance indicators, and project-specific analyses, enabling early detection of deviations in cost and time. The results indicate that improved analytical support and operational transparency provide a foundation for data-driven strategy, advancing the digital maturity and competitive positioning of construction SMEs.