The Operational Twin
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The Operational Twin: Where Data Drives the Plant

Transforming industrial operations with real-time, data-driven twins that enable predictive decisions, continuous optimization and autonomous performance.
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Industrial operations struggle with fragmented data, limited real-time decision-making and complex IT/OT environments that hinder efficiency and scalability.
Why this “Operational Twins for Intelligent Plants” challenge?
From monitoring assets to operating in real time

Operational twins integrate data, models and domain knowledge to move from reactive decisions to continuous, predictive and autonomous operations.

Key benefits
Turning data into operational intelligence

Enable smarter, faster and scalable decisions

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Real-time optimization

Continuously improve production performance based on live operational data

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Reduced downtime

Anticipate deviations and prevent unplanned shutdowns.

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Better decision-making

Base decisions on real asset conditions, not assumptions.

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Autonomous operations

Enable systems that recommend and execute actions with human supervision.

How NTT DATA helps

01
Operational twin platforms

Integrate IT and OT data into a unified, real-time operational model

Operational twin platforms
02
Advanced analytics and AI

Predict events, optimize processes and enable intelligent decision-making.

03
Process simulation capabilities

Explore scenarios and evaluate operational decisions before execution.

04
Composable architecture

Enable scalable, interoperable platforms that evolve with business needs

Composable architecture
05
IT/OT convergence frameworks

Create unified data environments with shared semantics and event-driven integration

Multi-temporal opportunity análisis
Proven impact
Improved production performance and operational efficiency
Results that matter
Organizations achieve measurable gains in performance, efficiency and resilience.
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Production performance improvement 1–3%

Real-time optimization driven by process twins enhances output efficiency

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Reduced unplanned downtime

Predictive detection of deviations minimizes operational disruptions

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Faster decision cycles

Real-time data and simulation accelerate operational decision-making

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Lower integration costs

Composable architectures reduce complexity and cost of scaling use cases

Start the conversation that powers intelligent operations

Start the proccess that drives autonomy

Let's talk
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