Leveraging business intelligence to develop predictive insights. Sheetal Patole General Manager, Business Intelligence & Analytics 26 November 2015

Transcription

1 Leveraging business intelligence to develop predictive insights Sheetal Patole General Manager, Business Intelligence & Analytics 26 November 2015

2 2 Who we are We are a leading global business delivering value at each stage of mineral and metal production We employ approximately 60,000 people in more than 40 countries We fulfil vital consumer needs and improve living standards Our commitment to safety is fundamental to the way we do business Sustainable development is at the heart of everything we do Underlying earnings in 2014 of US$9.3 billion

3 3 Rio Tinto a world leader in mining Aluminium Industry-leading bauxite position Alumina refineries provide competitive security of supply for our smelters Sector-leading primary aluminium metal EBITDA margins Copper & Coal Significant producer of copper from our assets in the USA, Mongolia, Chile and Indonesia Australian producer of thermal, semi-soft and hard coking coal Diamonds & Minerals Iron Ore Demand led operating philosophy Flexible product portfolio in titanium dioxide and zircon Leading supplier of borates Diverse diamonds business Supplier of salt and uranium Leading producer of iron ore Australian Pilbara business supplies our premium Pilbara Blend lump and fines products IOC in Canada produces both concentrates and pellets Supported by our Exploration and Technology & Innovation groups

4 4 Our Technology & Innovation group Delivering world-class projects and productivity enhancements to the Group World-class projects World-class productivity Project shaping: project shaping and strategic production planning Asset delivery: delivering major worldclass projects Capital effectiveness: an optimum portfolio delivering best-in-class capital efficiency Technical assurance: independent technical reviews Productivity generation: productivity through innovation and analytics Discipline leadership: Identifying and facilitating the implementation of World Class technical practices to improve Group productivity, discipline health and performance Flagship programmes: focussed effort to deliver breakthrough performance in asset management, energy productivity and technology deployment

5 5 Business Intelligence & Analytics vision To build a World Class Business Intelligence and Analytics platform by using Information as an Asset for strategic advantage. The objective is to empower the organisation by delivering valuable information insights to implement measurable action at the points where it is needed to enable effective decision making. The value of information will only be realised when it is effectively managed Right time Right people Right information Right way Right place

6 6 Our simple method to develop our platform and analytical solutions Business intelligence and analytics is the combination of skills, processes, technologies and methods to investigate past business performance to gain insight and drive future business decisions. Analytics starts with the identification of high-priority business imperatives and/or questions. feedback loop Collect Organise and integrate Analytics Analysis and insights Act on insights

7 7 What are our guiding principles? Single source of truth Strategic alignment Leverage existing Requirements led Scalable and flexible Standardised Aligned metrics

8 8 Types of data we are working with Real Time Operate Real time data and insight collected from processing equipment and machinery sensors during operation Historical Analyse and Manage Historical data and insight gained from analysing trends, patterns and opportunities for improvement learned from experience Data Success is where all three horizons access the same structured, well-governed data to inform decisions Future Predict and Plan Future insight derived from historical analysis to improve planning, simulate and predict future outcomes

9 Mine Automation System (MAS) 9 Developed from within a long term research programme, in partnership with the Rio Tinto Centre for Mine Automation at the University of Sydney. Incorporates many ideas and technologies from outside of the mining industry, including aerospace and defence. MAS is an integrated command and control element to support automated mining, and allow the mine to operate as an optimised system. The Mine Automation System is the critical component that supports whole-of-mine automation. RTVis is the visualisation software linked to Rio Tinto s Mine Automation System (MAS), providing a 3D representation of mine activities in real-time.

10 Predictive Asset Health 10 Rio Tinto has approximately 900 trucks, each with 200 sensors Useful data produced by trucks ~4.9 Tb/day (fleet) * Significant value to leverage

11 Questions