Sustainability reporting software for mining and minerals

The world’s only sustainability analytics solution designed for minerals and mining

With MS Sustainability you can track indicators such as GHG emissions (Scopes 1, 2 & 3), water, energy, air quality, waste, hazardous materials, pollutants and other climate and nature-related risk factors with proven assurance.

A new era of accountability is here

For the energy-intensive mining and minerals sector, legislators and market sentiment have aligned to demand sustainability reporting transparency and climate and nature risk disclosure. 

As new compliance standards roll out globally, sustainability reporting has moved from a voluntary nice-to-have to a mission-critical mandatory activity with significant real-world consequences for failing to comply.  

Key reporting frameworks in place include the ISSB (Industrial Sustainability Standards Board), CSRD (EU Corporate Sustainability Reporting Directive) and SEC (US Securities and Exchange Commission). 

Disclosure requirements are more granular. Many sustainability frameworks require auditable reports down to a product level, scenario analysis to demonstrate climate resilience, double materiality reporting, and disclosures on carbon, water, waste, energy and other sustainability indicators.

Innovative resources companies are embracing intelligent digital tools to meet this challenge.

Stay across the latest reporting requirements:

What to look for in digital sustainability reporting software

When choosing digital sustainability reporting software, you’ll need a solution that delivers granular data, offers compliance with evolving frameworks, and enables you to set and meet decarbonisation targets.

Data: Capture | validate| contextualise | manage | report

Complex industrial processes like mining require a specialised approach to sustainability reporting that starts with advanced data capture and processing. The need for granular activity data requires a mass and energy balance to track every step of the production process across the value chain.

Data capture

  • Automated data capture across the industrial facility, both quantitative and qualitative.
  • Source data from instrumentation (IoT), laboratory information management systems (LIMS), data historians, ERP systems, environmental systems and manual data entry.

Data validation

  • Organises, cleans and validates data.
  • Automated alerts and monitoring.
  • Data health checks.

Data contextualisation

  • Digitally simulate the industrial process and calculate a second comparable set of data to contextualise data and complete data gaps.
  • Conduct a mass and energy balance of your industrial facility to identify process optimisation opportunities and to calculate and validate the most accurate and auditable finance-grade activity data.

Data management

  • Securely store data in a multi-dimensional database.

Data reporting

  • Report by country, site, boundary (corporate, financial reporting hierarchy or site internal boundaries), scope 1, 2 & 3, scope categories and product level (product carbon footprinting PCF).
  • Granular data that can be configured to report across any framework.

Data auditability

  • Attach image files and documents to support audit requirements.
  • User activity logs.
  • Track data down to its source, e.g. instrumentation reading.

Digital taxonomy

  • Data tagging to data points/measure points within framework disclosures into a machine-readable format according to multiple digital taxonomies.

Compliance: Satisfy evolving global frameworks

In this new era of legislated accountability, your sustainability reporting solution will need the features and flexibility to meet a host of new and evolving regulations, including:

Decarbonisation: Target & transition planning | Scenario analysis & climate resilience

Beyond ticking the compliance boxes, your digital solution must cater to frameworks that require target setting, monitoring and tracking, as well as scenario analysis to test business resilience to various physical and transition risks.

Target and transition planning

  • Disclosure of sustainability and climate-related targets set by the company and the jurisdiction in which they operate and how these have been informed by the latest international agreement.
  • Other analysis used in transition planning, such as varying inputs into scenario analysis to test and plan decarbonisation projects, such as marginal abatement cost curves.

Scenario analysis and climate resilience assessment

  • Scenario analysis is to be used in some frameworks to assess a company’s climate resilience. Disclosure is required on whether and how the scenarios used align with international agreements on climate change.

Why MI Sustainability?

Available as a stand-alone solution or add-on to MI Core, MI Sustainability enables you to produce accurate data-driven sustainability reports to satisfy evolving global legislative frameworks and set and achieve decarbonisation targets.

Unique in the market, MI Sustainability is:

  • Purpose-built for complex metals and minerals organisations to handle millions of data points.
  • Enables granular and auditable reports across Scopes 1, 2 & 3 down to climate and nature-based indicators and calculates a product carbon footprint (PCF).
  • Makes sustainability reporting and compliance easy with digital reports to meet any framework across any jurisdiction.

How MI Sustainability works

MI Sustainability integrates granular plant-wide data capture and analytics, is compatible with major global compliance frameworks and has advanced decarbonisation capabilities. Click on each layer to learn more.

Plant data/ data historians Laboratory information systems (LIMS) Environmental systems Health and safety systems Human capital management data Mining / Manufacturing planning systems ERP solutions Supply chain data Manual data entry Compliance Decarbonisation US SEC ISSB CSRD CBAM Product Carbon Footprinting Many other frameworks Transition planning & target setting Scenario analysis & climate resilience assessments Layer 4 Reporting and analysis using advanced visualisation tools Layer 3 Enterprise ESG Control Panel & workflow Layer 2 ESG data contextualisation with mass & energy balance Layer 1 ESG data centralisation, organisation and validation
Source Data Inputs Regulatory Framework Reporting Layer 4 Reporting and analysis using advanced visualisation tools Layer 3 Enterprise ESG Control Panel & workflow Layer 2 ESG data contextualisation with mass & energy balance Layer 1 ESG data centralisation, organisation and validation