Development of a maturity scale for mining performance and maintenance data analytics

Australian Resources and Investment


Authors: Ali Soofastaei, Jeremy Davies, Edson Antonio
Volume:
12
No:
1
Issue:
1
Date:
March 2018
Pages: 10-13

 

Abstract

Data analytics is the science of examining raw data with the goal of discovering useful information, reaching conclusions about the meaning of the data and supporting decision-making. The main opportunity that data analytics presents for mining is its potential to identify, understand and then guide the correction of complex root causes of high costs, poor process performance and adverse maintenance practices. These root causes may be invisible to simple analysis or reporting methods. Data analytics can, therefore, reduce costs and accelerate better improve their bottom line performance.

Get Access

Responses

Your email address will not be published. Required fields are marked *