For many mines, the systems and processes that handle their data have been deployed gradually in response to the technologies that the operation has adopted over time. While this approach can support basic digitalization, as mines look to leverage advanced digital technologies, like machine learning and AI, and deploy semi- or highly autonomous systems, a more sophisticated and structured approach to data management may be needed.
“Change management is critical in digital transformation,” said Herman. “Data insights must be made available to workers as part of their daily tasks and routines so that they can monitor processes and benchmark performance.”
He explained that today, the majority of mines aggregate and analyze their operational data in a cloud-hosted platform. The insights generated are then relayed back to site for implementation. However, this information tends to be delivered to a select number of people – such as shift supervisors or the mine manager – who look at the report when they have time; it’s not made available to teams in the mine in real time.
