Beyond the downturn: new priorities in Australian mining
2018 sees the mining equipment, technology and services (METS) sector in Australia emerging from the downturn and reassessing its approach to the future.
With market conditions improving, confidence has begun to return to the sector but commodity prices are still marked by fluctuation. How should mining companies approach this new era?
These are the key, interrelated ideas around which the future of mining is developing:
Commit Works is operating at the nexus of these priorities, delivering software solutions that grow with the industry and facilitate better collaboration on mining operations.
The value of collaboration in mining has gone largely untapped in an industry that’s known for its silos and secrecy.
Mining’s recent tough years taught companies that better cooperation in the workforce is crucial to improving efficiency and productivity, not to mention safety on site.
Collaboration across and outside of the sector is also a rising trend, with the resources industry building relationships with software developers, technical specialists, strategic thinkers and others. The role of diversified knowledge and new perspectives has been recognised in the bid to transform the METS industry and guarantee its future survival.
Innovation was a focus for the industry during the downturn, as businesses fought to survive. In the wake of that challenging period, it’s become clear that innovation is now a constant consideration. The world is changing fast, driven by rapid technological advances and volatile markets; “innovation” is the shorthand for all of the ways in which companies can stay relevant and competitive.
The upswing in the market has meant that more companies can invest in technology – digitisation is now happening across all levels of business. These investments are seeing improvements in equipment capabilities, workforce management, safety and efficiency, as companies benefit from mobile technology, cloud computing, automation, real-time reporting and big data.