Data management for integrated operations : Roundtable Discussion

As technology capability grows and new solutions are developed to help mines become safer, more productive, more sustainable, and more efficient, there is a growing interest in using advanced systems and analytics, but it is essential to be ready for it. Many operations are not yet at a high enough maturity level to successfully adopt them.

Some of the key challenges GMG members have identified in relation to data management include:

• Standardization and common language: improved integration and reduced need for translation; adoption of advanced systems; improved internal communication. Key considerations: change management and existing standards
• Integration and multiple vendors: distributed responsibility, cross-functional IoT data, autonomous systems, human factors
• Data integration and management: integration of data from diverse sensors and sources, reliability including latency, processing, storage and access, and human factors and responsibility
• Data quality, reliability and management: reliability and veracity, architectures, feedback mechanisms, granularity and retention, latency, access, data-driven decision making and readiness for advanced systems
• Unlocking value from existing data and using the insights for decision-making is a key challenge, especially scaling platforms to target the right areas..
• People, safety, education and skills: fundamental training, regional variation, IT-OT challenges, skills shortages, becoming more connected to exacerbate challenges associated with operational silos, and education and training

This roundtable discussion will bring industry leaders together to share their expertise, success stories and the challenges they are facing; identify current gaps in knowledge; and determine the critical areas where we need to work together.