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Network digital twins & assurance

Model the network before changing it. Connect topology, performance and service context so teams can anticipate impact and keep increasingly autonomous operations under control.
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Every network change carries a service consequence.
WHY THIS "NETWORK DIGITAL TWINS & ASSURANCE" CHALLENGE?
Can operators see the impact before customers feel it?

As networks become cloud-native, sliced and distributed, a single configuration change can travel across domains, suppliers and services. Traditional monitoring shows what has already happened. Operators need a living view of topology, configuration and performance that helps teams test decisions, isolate risk and act with service context before disruption spreads.

主なメリット
Assurance that sees beyond the alarm
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Test change before live service

Use a network twin to explore planned configurations, capacity shifts and operational scenarios against a representative network model.

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Move from elements to service impact

Connect fault, performance, configuration, inventory and topology so teams can understand which services and customers may be affected.

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Monitor each slice on its own terms

Treat network slices as independent service environments, with fault and performance assurance matched to their intent.

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Give people earlier, clearer choices

Surface the dependencies and likely consequences behind an event so operations teams can intervene with context and retain accountability.

NTTデータのサポート体制は?

01
Living topology and inventory foundation

Builds a coherent model across sites, resources, functions, slices and service dependencies, with discovery and reconciliation to keep the view usable.

A gloved technician in a high-visibility jacket connects fiber cables in a street cabinet while holding a wiring diagram, with a service van in the background.
02
Network data and AI layer

Connects collection, ingestion, processing and monitoring across network data, creating the governed foundation for analytics, planning and assurance.

Three engineers in an operations room study a network topology on a large screen, while dashboards with performance data glow on the monitors in front of them.
03
Simulation and pre-change validation

Defines representative scenarios for provisioning, configuration and deployment so teams can assess likely impact before committing a change to production.

Two engineers test radio units in a lab, one connecting cables and the other adjusting a signal analyzer.
04
Closed-loop assurance

Combines fault, performance and configuration management with automation to detect deviations, recommend or trigger the right response, and support progressive autonomy.

A technician in a hard hat and safety harness checks a rooftop radio unit with a handheld analyzer, with city skyscrapers behind her.
05
Integrated operating model

Connects NOC, SOC and customer experience management workflows, so service and resource assurance move together and people remain accountable for critical decisions.

Three operations colleagues, one wearing a headset, review a network route map together at a desk in a night-time operations center.
An engineer works at the far end of a long data center aisle lined with racks of yellow and blue fiber cabling.
実証済みの効果
From fragmented signals to service confidence

Grounded delivery evidence across assurance, operations and OSS modernization.

重要な結果
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40% lower tool costs

Reported for a network assurance suite supporting fault, performance and configuration management.

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50% cost savings on new projects

Reported in an OSS transformation initiative built around a modular data and assurance blueprint.

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Operational delivery across distinct environments

Network operations work includes a Latin American mobile operator, a large infrastructure operator, and provisioning services for two international connectivity providers.

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Service and resource assurance brought together

An integrated SOC and NOC approach connects assurance processes across customer-facing services and underlying network resources.

What would you change if you could see the consequence first?

Start the conversation about building a network twin and assurance model that helps your teams test change, protect service and move toward autonomy with control.

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