Overview
StratDA was adopted by Aris Resources to enhance operational excellence through advanced data analytics. While the mining team had deep expertise in metallurgical processes and mine operations, they lacked the necessary capabilities in data engineering and analytics. StratDA served as a trusted technical partner, helping the mine identify, analyze, and implement data-driven strategies to optimize efficiency and productivity.
Challenge
The small metal mine faced multiple operational challenges:
- Struggles with Productivity: The mine experienced difficulty in maintaining optimal productivity levels, often unable to pinpoint key inefficiencies.
- Inability to Diagnose Operational Performance: A lack of visibility into performance metrics made it difficult to identify bottlenecks and areas requiring improvement.
- Inefficient Operations: Due to fragmented data, inefficiencies in equipment utilization, downtime, and material handling went unnoticed.
- Limited Data Expertise: The team had extensive mining knowledge but lacked the skills to conduct data analytics in a consistent, accurate and sustainable ways.
- High Cost of Technical Resources: Hiring dedicated data science personnel was not feasible due to budget constraints.
- Too much Noise in Data: The mine collected vast amounts of data but struggled to target valuable data and extract meaningful insights from it.
- Misalignment with Business Objectives: Traditional analytics approaches often failed to align with real-world mining needs, leading to ineffective decision-making.
Solution
StratDA provided a tailored solution by:
- Optimizing Equipment & Processes – Using data analytics to track equipment performance, reduce downtime, and improve material throughput.
- Enhancing Productivity Analysis – Implementing analytical tools to measure and improve productivity, providing the mine with greater visibility into performance gaps.
- Defining Key Metrics with Mining Experts – Working closely with mine operators to identify the most critical performance indicators for operational improvement.
- Tech Translation & POC Development – Acting as a technology translator, StratDA transformed operational challenges into proof-of-concept (POC) solutions that could be tested and validated quickly.
- Focusing on High-Impact Data – StratDA helped the mine filter out redundant data and focus on valuable insights that directly impacted efficiency and profitability.
- Ensuring Solution Transparency & Traceability – All data-driven solutions were designed for clarity, reproducibility, and alignment with the mine’s strategic goals.
Results & Impact
- Enhanced Equipment Efficiency: Data insights helped optimize machinery usage, reducing downtime and increasing overall productivity.
- Reduced Operational Costs: Improved resource allocation and process optimization led to lower operational expenses.
- Faster Problem Resolution: Real-time data monitoring enabled quick identification and rectification of operational bottlenecks.
- Improved Productivity Monitoring: The mine gained the ability to track performance metrics and address inefficiencies proactively.
- Data-Driven Decision-Making: The mine transitioned from intuition-based decisions to evidence-based strategies, improving overall site management.
- Scalability for Future Growth: With a structured approach to analytics, the mine is now well-positioned for future expansion and technology adoption.
Conclusion
StratDA empowered the small metal mine to leverage data analytics without the need for an in-house technical team. By providing cost-effective, high-quality solutions that aligned with business goals, StratDA helped the mine optimize operations, reduce costs, and improve overall efficiency.
With StratDA as a strategic partner, small mining operations can unlock the power of their data, enabling them to drive sustainable growth and enhance operational excellence.
