BUSINESS TALK

Enhancing Asset and Network Management with GIS

Location intelligence turns distributed infrastructure into a connected operating view — helping asset-intensive organizations plan better, monitor in real time, and move toward predictive maintenance
Schedule a meeting
Listen podcast
-15
+15
0:00
/
0:00
Networks don’t fail in neat rows.
They stretch across cities, corridors, facilities, and territories — exposed to weather, demand, aging infrastructure, and constant operational pressure. When asset data lives in static drawings, disconnected systems, or isolated field reports, teams lose the spatial context needed to see risk early, coordinate action, and keep networks performing
Why this Enhancing Asset and Network Management with GIS challenge?
Assets Live in Geography, Not Spreadsheets

Every cable, pipe, valve, tower, facility, and service area has a location, a condition, and a relationship to the network around it. GIS turns that geography into operational intelligence by connecting maps with BIM models, IoT/sensor data, SCADA alerts, digital twins, and simulations — helping teams monitor assets in real time, prioritize maintenance, and plan more resilient infrastructure.

The shift is clear: from scattered asset records to connected infrastructure intelligence that supports better decisions across planning, operations, and maintenance

Key benefits
Infrastructure Intelligence Starts with Spatial Truth

GIS gives every asset a place, a context, and a relationship to everything around it — so decisions can move with more evidence and less assumption.

check icon
Where visibility never blinks

Combine geospatial views with IoT and sensor data to monitor assets and networks in real time

check icon
Turn coordinates into decisions

Process spatial data to reveal patterns, optimize resources, and support operational planning across territories

check icon
See the asset and its environment

Integrate BIM and GIS to connect asset detail with environmental context across the lifecycle

check icon
Move maintenance before failure

Use simulations and collected data to support predictive maintenance, not only preventive or reactive models

How NTT DATA helps

01
Geospatial asset architecture

We connect maps, asset data, and operational systems so teams can work from a shared, spatially accurate infrastructure view

02
BIM-GIS integration

We combine BIM and GIS to add spatial precision, environmental context, and lifecycle continuity to planning and analysis

BIM-GIS integration
03
Real-time monitoring layer

We integrate IoT/sensors, SCADA, alerts, and visualization tools so operating conditions become visible as they change

Real-time monitoring layer
04
Digital twin-enabled maintenance

We use asset data, simulations, and intelligent maintenance models to support informed decisions and reduce unplanned downtime

Digital twin-enabled maintenance
05
Adaptable asset management platforms

We don’t deliver a map and call it transformation. We build configurable platforms, including Salesforce-based asset management capabilities, that evolve with the operating model

Adaptable asset management platforms
Proven impact
Connected maps. Live asset signals. Maintenance that moves earlier
Results that matter
Real operational impact across the asset lifecycle

The source material does not provide quantified KPIs, so the outcomes are framed as qualitative operational shifts

check icon
Locate critical assets faster

unified geospatial views bring network, territory, and asset information into one operational picture

check icon
Improve maintenance readiness

live asset data and simulations help teams plan interventions before disruption escalates

check icon
Strengthen planning confidence

BIM-GIS integration adds spatial precision and environmental context across the asset lifecycle

check icon
Reduce operational blind spots

SCADA, IoT, alerts, and visualization connect field conditions to decision-making workflows

Make every asset visible, connected, and ready for what comes next

Start the conversation that drives resilient asset networks →

Drag