Digitising risk management
The tools and potential to transform risk management through digitalisation has been demonstrated and there are clear signs the mining sector is in the process of discovery and implementation, but data quality, availability and the trustworthiness of legacy data are obstacles the majority of the industry needs to overcome.
Download insights from a cross-section of 30 senior teams from the world’s leading miners through our comprehensive infographic to discover:
- The level digital maturity in risk management
- The confidence in the datasets being used to measure risk
- How data is being used in real-time risk management
- Whether digitising risk is improving risk-management performance
Explore Featured Articles
Tailored Not Templated: Helping Explorers Ditch Data Chaos and Make Smarter Decisions from Day One
Advancements in TSF Monitoring and Surveillance Through the Adoption of Digital Solutions
SRK explains how integrated digital monitoring and surveillance solutions—using real-time data, sensors, and analytics—enhance tailings storage facility safety by improving performance tracking, risk visibility, and faster decision-making.
Exploration Decision-making Through Real-time Data Review and Modeling
SRK explains how real-time review of drilling data combined with dynamic geological modeling enables faster, data-driven exploration decisions by continuously updating models, optimizing targeting, and maximizing the value of each drillhole.
Integrating Feature Engineering with Mineral Systems for Data-Driven Targeting
SRK demonstrates how combining geologically informed feature engineering with mineral systems frameworks enhances machine learning models—improving targeting accuracy, interpretability, and confidence in identifying high-potential mineral zones.
The Relevance of Structured Data and its Impact in Geotechnical Engineering Analyses – A Case of Study in Tailings Storage Facilities and Waste Rock Dumps
SRK Harnesses Power of Digital Tools for Engineering Innovation
SRK highlights how in-house digital tools, data engineering, and custom applications streamline workflows, improve data accuracy, and enable engineers to extract deeper insights—driving innovation and efficiency in engineering projects.