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Integrating Big Data Management in the Mining Industry

Over recent years, the mining industry’s increasing adoption of new technologies has helped companies cut operational costs and improve processes. The key player here is big data.

By collecting and leveraging big data from multiple data sources, and then parsing this with advanced data analytics, mining companies can unlock immediate value and improve their bottom line.

But despite the benefits big data brings, the mining industry still struggles to deploy it at its full effectiveness. To harness the power of big data, and optimise their digital transformation strategy, mining companies must pay attention to big data management (BDM).

Key fact: The big data analytics (BDA) market could be worth $103 billion by 2023, with 97.2% of organisations investing in it

BDM refers to organising, deploying, and governing huge volumes of both structured and unstructured data. It’s essential to BDA because it establishes processes that mitigate errors and improve data quality.

With reliable data, the mining industry can increase productivity, minimise operational inefficiencies, and better respond to uncertainties. The integration of BDA and BDM in mining also creates an intelligent infrastructure that becomes more advanced the more it’s used.


  • Increases productivity

  • Improves operational efficiency

  • Cuts expenses

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