Governança em ambientes complexos e gestão estratégica de portfólio com apoio da inteligência de dados: Um estudo de caso aplicado a um PMO (Project Management Office) de gerenciamento de obras

Abstract

Digital transformation has driven a profound restructuring of organizational processes, especially in Civil Engineering, a sector characterized by the complexity of projects and the large volume of technical and financial data. However, this transition still faces barriers related to information fragmentation, lack of structured governance, and low interoperability between systems, which compromises traceability and hinders evidence-based decision-making. In this context, this study proposes a computational framework for data governance and intelligence, based on PMBOK best practices and developed from the General Data Intelligence Procedure (PGID) of VGVIX. The model aims to integrate data and management processes in a collaborative digital environment, ensuring compliance with the General Data Protection Law (LGPD – Law No. 13.709/2018) and promoting security, standardization, and traceability. The research adopts the Design Science Research (DSR) methodology to design, implement, and validate the framework, which integrates Power Platform tools (Power BI, Power Automate, Power Pages, SharePoint, and OneDrive) with corporate systems such as Sienge and Uau, creating an interoperable and auditable infrastructure. The application of the model in a real-world case study demonstrated significant gains in operational efficiency, information governance, and control of predictive cost, schedule, and scope indicators. That is, the framework is replicable and scalable, contributing to the consolidation of digital transformation in Civil Engineering and strengthening the integration between management, data science, and organizational sustainability.