Are you ready to join Generation i?
A new generation is rising, defined not by age or experience, but by the relentless desire for progress.
By harnessing trusted insight and ingenuity - your Industrial Intelligence - you can open up new avenues for growth, drive decarbonization, and reshape Mining for the future.
Maximize agility and productivity, while ensuring safety and sustainable practices from pit to port, through trusted insights.
Industrial Intelligence in action
Greger Spetz and Jonas Kemi explain the benefits of sharing trusted real-time insights between high-tech metal company, Boliden and its partner, SKF.
Learn more about how AVEVA customers harnessed their Industrial Intelligence
- Boliden
- Rio Tinto
- Agnico Eagle
Boliden turned data into resilience

Boliden is one of Sweden’s most advanced digital metals producers. It excavates and ships some SEK80 billion of copper, zinc, lead, and precious metals each year, with operations in five Nordic countries.
Boliden operates a network of long-distance conveyor belts, which are used to transport ore from the mine to the concentrator, several miles away. Yet the bearings used within the conveyor belts often fail, causing the conveyors to stop. This pushes up maintenance costs and limits productivity.
Boliden’s maintenance engineers also struggled because their data was held in separate silos. HMI/SCADA data from the plant could not be joined with vibration analysis from its partner, SKF. This made it hard for the team to predict failures or boost operational efficiency.
The value of sharing data is important because when we sit down and discuss what is the data and what does it say to us, people start to talk to each other, and we learn from each other and get new insights. I think it’s a really fast way to learn and improve.
Integrating disconnected systems to support operational visibility
Boliden needed to achieve four key improvements:
- Improve collaboration and efficiency by making vibrations data and contextual insights accessible to all the engineers working on the mine
- Improve data quality by integrating information into a single asset view
- Boost availability and cut unplanned downtime to ensure that ore keeps moving from the mine to conveyor to concentrator
- Leverage AI-enhanced insights by integrating process and vibration data and adding predictive analytics to predict failures before they occur
Collaboration, visualization, and failure prevention through industrial intelligence
The team integrated AVEVA HMI/SCADA data and the vibrations data from SKF Observer into a single, easy-to-visualize system using AVEVA’s open and agnostic cloud platform, CONNECT.
Rio Tinto turned disconnection into integration

Rio Tinto is one of the world’s largest metals and mining corporations, operating in 35 countries with more than 60,000 employees. Its operations – producing iron ore, copper, aluminium and lithium – span from mines and processing plants to ports and shipping facilities.
With an integrated network, the organization requires seamless data flow to maintain operational excellence and meet the growing global demand for resources to support modern life and the energy transition.
Data on its own is noise. Data, in context, is information. … We found AVEVA to be the best fit for our business in terms of what we wanted to achieve.
Tackling disconnected systems to support operational visibility
Rio Tinto’s operations faced significant challenges with their existing data infrastructure, including:
- Digital tools that required between three to six months to configure for a new project.
- Inefficiencies resulting from disconnected data between project delivery and operations.
- An internally built in-house system for tracking downtime with receiving little and inconsistent usage.
- Lack of standardized HMI across mine sites hampering flexibility and response times.
These challenges prevented the company from maximizing the value of its data. The company needed to streamline its project delivery process, improve operations tracking and standardize visualization to create a cohesive data infrastructure.
Creating a foundation for contextualized data
Implementing AVEVA’s software, Rio Tinto was able to address the issues it faced.
- Engineering: Deployed AVEVA Asset Information Management to create a preconfigured, standardized system that allowed engineering service providers to use the tools upfront.
- Operations: Built on the widely-used AVEVA PI System and implemented AVEVA Production Management to track downtime and losses.
- Optimization: Used AVEVA System Platform and AVEVA Plant SCADA to standardize HMI across all mine sites with a centralized design.
The implemented solution established efficient project portals and created effective integration across the organization.
Extracting meaningful insights across operations
By connecting design and engineering tools, Rio Tinto has realized significant benefits - addressing current challenges and also positioning Rio Tinto to capitalize on future opportunities:
- Time savings of up to 20% for operators and on-site personnel.
- Approximately 1 hour saved per person per shift.
- Reduced downtime and increased plant availability.
- More efficient project delivery through streamlined data connections.
- Enhanced ability to make data-driven decisions.
By unlocking its industrial intelligence, Rio Tinto has transformed how it manages data, creating a more efficient, responsive, and profitable operation, from pit to port.
Agnico Eagle turned challenges into opportunities

Agnico Eagle is the world’s third largest gold producer, operating 11 mines from Australia to Canada. Its workforce exceeds 16,000 people across many challenging environments. The organization sought to seamlessly integrate their data to optimize performance and overcome challenges, such as:
- Lack of integration between data sets, which limited opportunities for analytics related to asset health, operator performance and emissions.
- Secure data integration needed to be easier and faster.
- Creating a scalable data infrastructure across OT and IT was essential for the company’s future growth.
- Difficulty combining data from multiple streams into a cohesive meaningful output.
The Digital Transformation team, established in 2022, identified that data access challenges were limiting their analytics abilities.
Leveraging CONNECT data services to seamlessly query time series data in the Databricks environment will open the door to many use cases where disparate data sets exist.
Unifying industrial data makes insight possible
Partnering with AVEVA on the lighthouse early adopter program, Agnico Eagle implemented a comprehensive solution that seamlessly integrated their industrial data sets along with relational data from a variety of business systems.
- Apply advanced analytics of their haul trucks at their Nunavut sites in the Canadian Arctic region. This revealed critical correlations between fuel consumption and equipment parameters that would have remained hidden in siloed systems.
- Eliminate departmental barriers, through their new Integrated Operations Center, enabling faster responses to operational changes and optimizing the entire mining value chain.
Saving through optimized operations
The CONNECT data services integration has already delivered significant improvements:
- 3x increase in total data transfer speed compared to original solutions.
- Reduction in processing time from 8-9 days to just 1-2 days.
- Improved asset health through predictive maintenance.
- Lower carbon emissions from optimized haul routes and fuel consumption.
- Enabled additional analytics projects including paste backfill integration, energy mapping, improved BI reporting, and process plant KPI dashboards.
By building a unified data foundation through CONNECT, Agnico Eagle has transformed how they access, integrate, and analyze industrial data. By unlocking the industrial intelligence within its information landscape, Agnico Eagle is creating the foundation for more efficient, sustainable, and profitable mining operations that will deliver value for years to come.
The CONNECT platform enables BOLIDEN Maintenance engineers to collaborate with SKF application engineers and get better insights by combining condition monitoring data from AVEVA PI System and the SKF Observer platform. This will allow [us] to reduce unplanned downtime significantly.
As a result, Boliden has transformed the performance of its mines:
- Boliden and SKF teams can access the same, end-to-end, real-time data within AVEVA PI System, structured and visualized via CONNECT.
- Teams have clearer and more accurate insight into current and predicted asset performance
- Applying AVEVA Advanced Analytics, infused with industrial AI, team can predict and prevent potential bearings issues, reducing unplanned downtime.
- AVEVA’s Anomaly Detection Model tracks equipment performance and vibration anomalies, minimizing risk of future failures.
The added value from the data is not so much the data itself, but the discussion that the data is starting in a group of people with different competencies and backgrounds. It makes ideas grow.
By harnessing its Industrial Intelligence, Boliden has transformed operational efficiency, creating a more resilient, responsive, and profitable operation from pit to port.
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