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Improving Data Management with Digital Transformations

In the mining industry, data assets are just as important as physical assets, driving every aspect of operation, from increasing productivity to cutting CAPEX.

Still, companies prioritise digitising operational processes over data management. A greater digital maturity must be reached if the industry wants to sustain production rates efficiently.

Key fact: The metals and mining industry is 30-40% less digitally mature than comparable industries

Key to mining’s digital transformation strategy is the Internet of Things (IoT), which harnesses technologies that improve data management. For example, it enables real-time data analysis, which is critical to predictive maintenance agendas and improving operational efficiency.

IoT also provides data management solutions that use sensors and AI to show insights on site performance. Similarly, it leverages machine learning (ML) capabilities to provide predictive analytics on how operations can be improved.

Key fact: Digital transformations helped companies improve mining throughput by 10-20% and reduce emissions by 15-30%

Modern data management systems also use cloud computing to keep data safe. Using scalable data lakes, companies can store information in a central repository. This increases visibility of weaknesses, allowing cybersecurity teams to be proactive rather than reactive.

Benefits

  • Improves operational efficiency

  • Cuts CAPEX and OPEX

  • Protects against cyberattacks

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