Smart Mining at Scale: How JFK Integration Modernized Asset Monitoring with AspenTech Inmation
A leading copper mining operation in North America partnered with JFK Integration and Emerson to modernize and scale its asset monitoring capabilities.
The mission: Connect more assets, streamline data access, and empower teams with deeper, faster operational insights.

The Challenge
To move beyond siloed monitoring and unlock enterprise-wide visibility, the mine needed to:
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Integrate a broad range of assets into a unified data infrastructure.
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Ensure data quality and consistency for high-trust analytics.
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Update dashboards and reports to handle a growing volume of KPIs.
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Expose clean, structured data to analytics and asset modeling tools.
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Deliver a user-friendly experience to drive adoption at all levels.


JFK Integration’s Approach
JFK Integration led the full-scale rollout using AspenTech Inmation as the backbone, paired with Power BI for visualization.
Our team brought deep technical know-how and industry experience to deliver a future-ready, data-driven environment.
Key highlights:
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Unified data architecture using Inmation, ensuring real-time access across assets.
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Scalable dashboards redesigned in Power BI for operational and strategic views.
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Data pipelines exposed to advanced analytics and asset modeling platforms.
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Seamless user experience, making navigation between reports fast and intuitive.
The Results
With JFK Integration at the helm, the mine now benefits from :
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Real-time, site-wide asset visibility.
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Advanced reporting and analytics that drive faster, smarter decisions.
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Access to structured data for machine learning, modeling, and optimization.
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High user engagement thanks to a clean, intuitive interface.
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Scalable infrastructure ready for future digital initiatives.
More Than Monitoring
This transformation wasn’t just about data collection, it was about unlocking the full value of operational intelligence. JFK Integration helped turn raw asset data into a strategic asset itself, supporting everything from live monitoring to long-term optimization models.


