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Digital Asset Management for Advanced O&M

Integrate BIM, GIS, and real-world asset data into a unified digital environment to improve visibility, decision-making, and operational efficiency across the asset lifecycle

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Industrial asset information is often dispersed across multiple systems, formats, and teams, making it difficult to access reliable, contextualized data when planning, operating, or maintaining complex facilities

WHY THIS “DIGITAL ASSET MANAGEMENT FOR ADVANCED O&M” CHALLENGE?

Operational decisions are slowed down when information cannot be accessed in context

Engineering models, operational data, documentation, and real-world conditions are rarely connected, forcing teams to switch between tools, rely on outdated information, or physically visit assets to validate decisions

Key benefits

Connecting asset data to enable better operational decisions

Context, accessibility, and operational efficiency

Single point of access to asset information

Consolidate BIM models, GIS data, and operational systems into a unified environment

Improved decision-making through contextual data

Access technical, spatial, and operational information in a single view

Reduced need for field visits

Enable remote analysis and planning through realistic 3D environments and asset visualization

Stronger coordination across teams and disciplines

Align engineering, operations, and maintenance through shared, consistent information

How NTT DATA helps

01

Designing and structuring the BIM ecosystem

Define standards, data models, and integration frameworks across systems

02

Integrating BIM, GIS, and reality capture technologies

Connect 3D models, geospatial data, and photogrammetry into a unified platform

03

Developing asset visualization platforms (2D/3D)

Enable intuitive navigation and contextual access to asset information

04

Defining governance, roles, and operating models

Ensure consistency, ownership, and long-term sustainability of the ecosystem

05

Supporting end-to-end implementation and scaling

From pilot use cases to full deployment across industrial complexes

Proven impact

Enabling industrial teams to access, understand, and act on asset information faster by connecting models, data, and real-world context

Results that matter

Improvements in access, efficiency, and operational decision-making:

Faster access to critical asset information

Centralized platforms reduce time spent searching across systems

Reduced field interventions for planning and validation

Remote visualization minimizes the need for on-site visits

Improved coordination across engineering and operations

Shared environments reduce misalignment and rework

Foundation for digital twin evolution

Integrated data enables future capabilities such as predictive maintenance and simulation

Connect asset data to improve visibility and operational decision-making

Enable integrated and efficient asset management

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