In conclusion, the five-phase data-driven EPC execution framework presented herein offers a replicable and practical roadmap for transforming project delivery through integrated data and analytics. This framework can be applied by company big and small to capitalize It addresses the key research questions by: The paper demonstrates that by combining technology (like BIM, databases,) with smart processes (regular data capture, role-based reporting) and organizational support EPC projects can achieve new levels of performance. The framework’s phased approach provides a step-by-step maturity model: from integrating existing systems (Phase 1) to fully embedding data-driven decisions in an organization’s DNA (Phase 5). For project owners, adopting such frameworks (or requiring them in EPC contracts) can translate to more predictable project outcomes, improved transparency, and ultimately better capital efficiency. For EPC and contractors, becoming data-driven can be a competitive advantage, enabling them to deliver projects with higher certainty (and protect or even improve profit margins). This is increasingly critical as clients (especially in mining and infrastructure) seek greater resilience and predictability in project delivery to fulfill their strategic goals under tight market conditions. As companies implement these data strategies, further research could explore how advanced AI techniques (like reinforcement learning for schedule optimization or natural language processing on project documentation for risk identification) could be integrated into the framework. Also, expanding the evidence base with more case studies and industry benchmarks will continue to validate and refine the framework’s effectiveness. Lastly, while technology is a key enabler, the human and organizational aspect (training people to trust and use data) remains paramount; thus change management best practices need to accompany the technical rollout. The data-driven EPC execution framework outlined in this paper is more than a theoretical construct, it is grounded in industry experience and geared towards immediate applicability. By following its five steps, companies can better leverage the wealth of project data already at their fingertips. In doing so, they will significantly improve cost certainty, schedule predictability, and decision quality, ensuring that we can build the mines and infrastructure necessary to power the global energy transition effectively, on time, and on budget. This transformation is not only feasible – it is becoming an imperative for the next generation of project delivery.
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