Connecting Physical Equipment with Real-Time Digital Intelligence
An industrial digital twin platform combines equipment telemetry, operational models, asset context, health indicators, and predictive analytics to help teams monitor and optimize industrial operations.
Connecting Physical Equipment with Real-Time Digital Intelligence
An industrial digital twin platform combines equipment telemetry, operational models, asset context, health indicators, and predictive analytics to help teams monitor and optimize industrial operations.
Overcoming Challenges in Industrial Manufacturing & Operations
The solution addresses disconnected data, manual processes, and limited visibility with integrated workflows and purpose-built technology. An industrial digital twin platform combines equipment telemetry, operational models, asset context, health indicators, and predictive analytics to help teams monitor and optimize industrial operations.
Core Requirements Identified
- Implement industrial sensors with appropriate validation, integration, access, and operational controls.
- Implement edge data gateway with appropriate validation, integration, access, and operational controls.
- Implement telemetry streaming with appropriate validation, integration, access, and operational controls.
- Implement digital twin registry with appropriate validation, integration, access, and operational controls.
- Implement asset state models with appropriate validation, integration, access, and operational controls.
- Implement predictive analytics with appropriate validation, integration, access, and operational controls.
Industrial Digital Twin Platform Solution
Connect · Automate · Analyze · ImproveAn industrial digital twin platform combines equipment telemetry, operational models, asset context, health indicators, and predictive analytics to help teams monitor and optimize industrial operations.

Core Platform Components
Five Phases of Industrial Digital Twin Platform Delivery
The delivery approach progresses from discovery and data foundations to platform capabilities, validation, adoption, and ongoing optimization.
- Map user journeys, operational challenges, and success criteria
- Inventory existing data sources and system dependencies
- Define delivery scope, risks, and validation checkpoints
- Design data models, integrations, and access permissions
- Establish secure infrastructure and integration interfaces
- Validate data quality, governance, and operational readiness
- Develop core product capabilities and business rules
- Connect platform components and automate priority workflows
- Test functional accuracy, performance, and reliability
- Build dashboards, alerts, and user-facing experiences
- Validate end-to-end scenarios with operational stakeholders
- Resolve usability gaps and prepare adoption materials
- Launch with monitoring, support, and controlled access
- Track usage, exceptions, and key operational indicators
- Prioritize refinements based on feedback and performance
Before vs. After
The solution replaces fragmented experiences with integrated Salesforce workflows and governed data visibility.
Business and Operational Outcomes
An industrial digital twin platform combines equipment telemetry, operational models, asset context, health indicators, and predictive analytics to help teams monitor and optimize industrial operations.
Ready to Build Your Industrial Digital Twin Platform?
Explore how industrial digital twin platform can connect your teams, automate complex processes, and improve business outcomes.
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