Big Data Analytics in Mining Summit 2014

Converting Big Data into Actionable Intelligence for the Business

Mining companies investment into IT is due to multiply by 5 in the next 3 years and with every phase of a mining company’s value chain producing large amounts of data on a daily basis, big data analytics will certainly be a large part of this increase. A particular area of focus is real-time data acquisition and analytics in order to improve the day-to-day operations of a mining company.

Utilising big data analytics and predictive analytics effectively can make a huge difference to the bottom line of any mining company, and it also offers huge competitive advantage in this challenging industry and difficult economic climate.

Mining IQ is proud to announce the 2nd annual Big Data Analytics in Mining Summit, bringing together senior level business analysts, Heads of IM and IT, Heads of Business Systems and CIOs from mining companies, mining contractors, EPCs and major OEMs, to discuss the challenges and opportunities of big data analytics in the mining industry.

Expert Speaker Panel Includes

Simon Prendergast
Project Lead, Excellence Centre Proof of Concept
Rio Tinto

Dr Matthew Lay
Manager Bauxite and Alumina Operating System
Rio Tinto Alcan Technology Pty Ltd

Carlos Cordoba
Senior Business Improvement Analyst
Ok Tedi Mining Limited

Trevor O'Neil
Global Demand Manager
Sandvik Mining & Construction

John Sarena
Senior MES Analyst - Processing
Iluka Resources Limited

David Moldrich OAM FRIM
Chair ISO TC46 SC11 (Records/Archives Management), Chair Standards Aust IT21 (Records/Information Management)
Santos GLNG

and amny more...