Using StratDA to Enhance Mining Optimisation Services

Overview

A small mining consulting firm XCM partnered with StratDA to leverage advanced data analytics for improving mine site productivity. While the firm had extensive domain expertise in mining operations, they lacked the necessary skills in data engineering and data science. StratDA played a pivotal role in bridging this gap by acting as a technical partner, transforming mining expert insights into actionable, high-value solutions.

Challenge

The mining consulting firm faced several challenges:

  • Lack of Data Expertise: Mining experts had deep operational knowledge but were not equipped with data science or engineering skills.
  • High Costs of Technical Hiring: The costs of hiring technical specialists were high, even for building proof-of-concept solutions.
  • Knowledge Gaps: Significant gaps between subject matter experts (SMEs) and technical teams led to misunderstandings of business requirements, compromising output quality.
  • Data Overload: The vast volume of data in mining operations was overwhelming, requiring assistance to identify the “right data” to focus on.
  • Alignment with Business Strategies: Data analytics solutions were often developed by technical teams without sufficient understanding of business strategies and tactics, leading to ineffective or non-actionable outputs for decision-making.

Solution

StratDA provided a comprehensive solution by:

  1. Collaborating with Mining Experts – StratDA provided tools and assistance to mining professionals to define specific use cases that could deliver impactful insights.
  2. Tech Translation & POC Development – StratDA acted as a technology translator, converting mining expert ideas into high-quality POC solutions.
  3. Cost-Efficient Validation – The firm was able to validate its ideas without hiring dedicated technical personnel, reducing costs by over 75%.
  4. Focusing on High-Value Data – StratDA ensured the right data was used to generate insights that could drive real operational improvements.
  5. Ensuring Transparency & Quality – All developed solutions maintained traceability, transparency, and alignment with business needs.

Results & Impact

  • Augmentation of Expert Knowledge: StratDA enhanced subject matter expertise with reusable and scalable insights.
  • New Revenue Stream & Model: StratDA transformed expert knowledge into scalable and reusable insight products, enabling the consulting firm to offer strategic insights as a service.
  • Faster POC Development: The time to develop and validate new ideas was significantly reduced, accelerating innovation.
  • Significant Cost Savings: The firm achieved high-quality POC solutions at less than a quarter of traditional development costs.
  • Improved Decision-Making: With actionable insights, the firm optimized mine site operations, leading to increased efficiency and cost savings.
  • Future Growth: With a structured approach to data insights, the firm positioned itself for continued improvements and long-term innovation.

Conclusion

StratDA enabled the small mining consulting firm to turn expert knowledge into data-driven insights without the complexity of hiring and managing a technical team. By ensuring transparency, traceability, and alignment with business strategies, StratDA helped the firm maximize productivity improvements and drive meaningful change in mine site operations.

With StratDA as a strategic partner, mining firms can unlock the true value of their data, empowering experts to focus on what they do best—optimizing mining operations for efficiency and profitability.