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 Portfolio Management Matter

Knowledge Gaps

Knowledge gaps between domain experts, data scientists, and system engineers create misalignment and misinterpretation, impeding successful delivery of data-driven initiatives.

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Fragmented Initiatives

Disparate and siloed initiatives across organizations create inconsistency, conflicts, and duplication of efforts, leading to misalignment of objectives, misuse of valuable resources, and failed value delivery.

Analytics solutions are only successful if they deliver real value and generate a measurable return on investment.
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How StratDA Helps

  • 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
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How StratDA Works

  • Centralised Requirement Management:
    Consolidates the collection, documentation, prioritization, and tracking of all project requirements in a unified system, enabling consistent validation and change control across the entire project lifecycle.
  • Use Case Builder:
    Aligns business strategy, scenarios, operational context, and stakeholder roles with data-driven solutions, leveraging AI to streamline and enhance the use case development process.
  • Transparent Initiative Tracking:
    Delivers reliable, consistent, and timely visibility into initiative value, strategic alignment, and expected insights—enabling informed decisions and sustaining stakeholder confidence.
  • Alignment across Organisation:
    Ensures that strategies, initiatives, and resources are coordinated across all levels and functions, fostering unified direction and maximizing the impact of data-driven efforts.
Productivity
Equipment Efficiency
Operation Performance
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Sustainability

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.

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

A 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

Ready to Transform Your Business?

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