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Preparing for a successful future
Improving control by enhancing processes
The client, a GCC based national oil company, has a large portfolio of capital projects that has quadrupled in value in the past six years.
The client, a GCC based national oil company, has a large portfolio of capital projects that has quadrupled in value in the past six years. To improve its control over the management of these projects, and ultimately reduce cost overruns and claims, the client aims to implement a comprehensive computing platform for all capital project management activities from preliminary engineering to handover. Deloitte was engaged by the client for the preliminary engineering phase of this project. The scope included defining the business processes, the proposed application architecture, and the implementation roadmap.
How we helped
Deloitte used its proven target operating model methodology to structure this project, using its Infrastructure and Capital Projects’ experts to develop the business solution. The project scope had a focus on preliminary engineering through to project close-out and handover to operations and maintenance. It included the processes of cost management, schedule management, scope management, materials procurement, contracting (pre- and post-award), asset information management, quality & inspection management, HSE management, and project reporting management.
The project resulted in the development of a Target Operating Model; a review of existing business processes, systems, and organization; mapping of processes and systems against industry best practices; developing a to-be operating model (including business processes, conceptual and logical architecture, and impact on the organization of the proposed solution); the preparation of a project proposal which defines the scope for the detailed design and implementation of the solution; and preparation of the project execution plan, which defines the contracting and implementation strategy for the remainder of the project, and a project cost estimate.