Last updated Sep 2026
Many minerals processing plants collect large amounts of operational data, yet performance opportunities can remain difficult to identify and act on. Metso Data-driven Performance Analytics service combines advanced analytics with Metso process and equipment expertise to uncover hidden improvement opportunities and turn them into prioritized actions for continuous operational improvement.
Turn operational data into measurable results
Reveal hidden opportunities
Identify performance gaps and bottlenecks that affect throughput, recovery, energy use and overall process performance.
Turn findings into action
Receive prioritized recommendations supported by analytics and Metso process and equipment expertise.
Sustain improvements over time
Use continuous monitoring and follow-up to verify progress and maintain improved operating practices.
Who benefits?
Operations and continuous improvement teams
Data-driven Performance Analytics supports operations looking to continuously improve equipment and process performance. The service provides access to specialized analytics, process expertise, and practical optimization support, helping operations identify improvement opportunities, prioritize actions, and sustain results over time.
Many operations collect large amounts of performance data, yet improvement opportunities can remain difficult to identify and act on. By combining advanced analytics, AI-supported insights, and Metso expertise, the service helps teams uncover hidden opportunities and accelerate continuous improvement efforts.
What Data-driven Performance Analytics provides
- Continuous asset and process performance monitoring: Evaluates how equipment is operated and how effectively it contributes to the surrounding process.
- Performance gap and bottleneck identification: Highlights constraints and losses that affect production output, recovery, energy use and efficiency.
- Expert-led analytics and interpretation: Combines data analysis with Metso process and equipment expertise.
- Prioritized improvement recommendations: Converts findings into practical actions based on their relevance to operational performance.
- Improvement tracking and follow-up: Maintains visibility of performance over time to support sustained operational results.
What can Data-driven Performance Analytics help improve?
Data-driven Performance Analytics evaluates equipment and process performance from multiple perspectives to uncover opportunities that impact operational results.
- Throughput
- Recovery
- Asset utilization
- Specific energy consumption
- Process efficiency
- Wear-related performance impacts
- Operating consistency
- Operational performance deviations
- Upstream and downstream process interactions
- Sources of performance losses
Example
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Frequently asked questions
Process performance analytics uses operational data, analytical methods and process expertise to identify performance gaps, bottlenecks and opportunities to improve throughput, recovery and efficiency.
It is a continuous, expert-led service that combines analytics, remote monitoring and Metso process and equipment expertise to identify and prioritize operational improvement opportunities.
Performance losses can be associated with the way equipment is operated, interactions between assets, process bottlenecks or operation outside an effective range. Analytics helps reveal patterns that are difficult to see from individual measurements alone.
Condition monitoring focuses on equipment condition and potential failures. Data-driven Performance Analytics evaluates how equipment is used in operation and how effectively it contributes to the performance of the wider process.
Data-driven Performance Analytics identifies and prioritizes performance improvement opportunities through advanced analytics and expert interpretation. Advanced Process Control automatically adjusts process operation in real time to maintain performance within defined objectives and constraints. Together, they create a continuous improvement cycle: Data-driven Performance Analytics helps identify where performance can be improved, while Advanced Process Control helps capture and sustain those improvements in day-to-day operation.
Together, they help mineral processing operations improve throughput, recovery, energy efficiency, and overall process performance.
It is a continuous expert-led service that combines analytics, remote or on-site performance monitoring and Metso expertise.
Operational data is analyzed together with process context and equipment knowledge to compare actual performance, identify gaps and determine where changes could improve results. Agentic AI is used to identify anomalies and improvement opportunities quickly from large volumes of operational data.
The service can support improvements in areas such as throughput, recovery, energy efficiency, equipment use and sustained process performance, depending on the process and identified opportunity.
The initial service scope includes selected process islands such as crushing, grinding, filtration and analyzers and is gradually extended to cover the entire minerals processing and metals refining flowsheet.
The service continuously monitors performance, communicates prioritized recommendations and follows progress over time, helping operations turn individual findings into sustained improvements.
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