472 3. This underscores a pressing need to move beyond business-as-usual and adopt integrated, data-driven methods. This white paper introduces a data-driven EPC execution framework specifically designed to harness integrated project data to transform decision-making and overall project delivery performance. The paper addresses the conference theme of “AI and Data-Driven Decision Making” by demonstrating how better integration and analysis of project data can lead to more resilient project execution and improved outcomes. The proposed framework is replicable and adaptable for companies of all sizes (both large international EPC firms and smaller contractors or owner organizations). Key benefits of the data-driven execution framework include: Real-Time Decision Dashboards: Implementation of role-based, real-time dashboards ensures that executives, project managers, engineers, and field supervisors all have up-to-date, single-source-oftruth project information. This fosters quick, informed decision-making and team alignment. Reduced Manual Effort: Automation of data aggregation and reporting to replace labor-intensive processes. By integrating systems, teams can eliminate dozens of spreadsheets and manual data reconciliations, freeing engineers and project controls personnel to focus on problem-solving instead of menial data tasks Seamless Trending and Forecasting: data is captured periodically enabling them to track progress in time. Allowing the team to spot trends and forecast properly. Improved Company Execution Intelligence: The framework emphasizes capturing structured project data over time (trends, performance metrics) and archiving them post-project in a corporate knowledge repository. This builds a repertoire of historical data and benchmarks that future projects can leverage for improved estimating, planning, and risk management. Set the Stage for AI Execution: This effort of structuring project data and trending will set the stage to capitalize on current and future AI capabilities for predictive analysis and recommendation. Positioning the organization 1. STATUS QUO – TOOLS AND DATA LANDSCAPE Large capital projects are typically managed through a patchwork of specialized software tools and data sources. EPC projects engage multiple systems in parallel, each catering to a specific discipline or function. Contractors and owners alike have invested a significant amount of time and capital to update their suite of software to execute and manage the different functions involved in project execution and may include: Engineering Software: major 3D CAD / BIM tools such as SmartPlant 3D, Smart Instrumentation, SPEL, SPI, Revit, Aveva E3D. etc. Translating into different software for each engineering discipline. Detailing Software: Specialty tools used by fabricators such as Tekla, SDS2 and others. Document Control: Managing drawings, specs of vendor docs, as well as transmittal to contractors (Aconex, Coreworx, SharePoint, etc.) Procurement & Material Management: software that has the capabilities to manage the different stage from purchasing to site delivery and warehousing (MatMan, Smart Materials, SAP) Construction Completion: monitor installed quantities, systems completion, or quality documentation sign-off. (MileMarker, MCPlus, etc.) Scheduling: To develop project master schedules (Primavera P6, MS Project) 3Accenture (2026, February) Building More Value with Capital Projects https://www.accenture.com/content/dam/accenture/final/a-com-migration/r3-3/pdf/pdf143/accenture-industryx-building-value-capital-projects-highres.pdf
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