This paper examines the process and specialised skills required to extract insight from data routinely collected by mine operations, maintenance, engineering and environmental departments. Typical insights include: enhanced understanding of root causes; recommendations for next best actions; and simulation of likely scenarios. The skills required for advanced analytics are not currently the domain of mining engineers. The professions required by tomorrow's mines are likely to be diverse and multi-disciplinary, and will include control engineers, software engineers, mathematicians and statisticians. A case study is presented that correlates mobile equipment production delays with rainfall events across three mines on the east coast of Australia. One mine is shown to have significantly more rain related downtime than the other mines, providing compelling evidence to improve productive performance._x000D_
FORMAL CITATION:Knights, P and Liang, L, 2011. Mine data analytics - new skills required for tomorrow's mines, in Proceedings Second International Future Mining Conference 2011, pp 69-74 (The Australasian Institute of Mining and Metallurgy: Melbourne).