Analytics Portfolios

We help METS and mining companies manage analytics portfolios to prioritise high-impact use cases, gain value faster, and achieve a higher success rate—while reducing risk and cost.

Why Analytics Portfolios

We provide a safe and lean path to enhance your analytics and AI innovation journey with certainty and confidence.
  • Value Prioritisation:
    Focus resources on high-impact, high-value use cases
  • Improved Successful Rate:
    Achieve success through enhanced interpretation, traceable requirements, and rapid proving of concept
  • Faster Time-to-Value:
    Accelerate the delivery of meaningful outcomes through collaboration, alignment, and transparency across teams
  • Risk Reduction:
    Fast validation to identify dependencies and gaps early to minimize delivery risks
  • Cost Efficiency:
    Reduces cost by avoiding siloed point solutions, enhancing reusability, and improving automation
  • Stakeholder Visibilities:
    Provide a clear view across initiatives to ensure value delivery and impact on business improvement

Key Solutions

Analytics and AI Use Cases

A structured approach to identifying, evaluating, prioritising, and managing analytics and AI use cases—ensuring alignment with business goals and the consistent delivery of measurable value across mining operations.

Report Design for Small Miners

Define the vision for business improvement and target data capability maturity aligned with mining goals—tailored to the business and operational context, and providing a benchmark to guide future planning and investment.

Proof of Concept

A lightweight, low-risk approach to rapidly test and validate analytics or AI ideas—demonstrating value, refining requirements, and informing go/no-go decisions before full-scale implementation.

Data Contracts

A clear, agreed-upon specification between data producers and consumers—defining the structure, quality, ownership, and delivery expectations to ensure reliable, consistent, and trusted data for downstream use.

A clear, prioritised pipeline of high-impact analytics and AI initiatives

Strong alignment between technical solutions and business needs

Faster validation and value realisation from targeted use cases

Faster, more confident decisions at all levels

Improved operational focus through role-relevant insights

Greater trust in data through consistency and clarity

Reduced time spent searching for critical information

Clear evidence of potential value and feasibility

Refined requirements for smoother implementation

Reduced risk and cost before full-scale rollout

Faster stakeholder buy-in through tangible results

Improved data quality, reliability and consistency

Clear accountability between producers and consumers

Reduced errors and rework in downstream processes

Faster troubleshooting and issue resolution

Productivity
Equipment Efficiency
Operation Performance
Safety
Sustainability

Ready to Transform Your Business?

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