industry classification, (b) services and products, (c) overseas operations, and (d) number of employees. The strategy and extent of CSR activities may be expected to vary depending upon these factors. a) Industry Classification XSTRATA is in the mining industry.
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Good Ole’ Azurite Oliver Trevisick Physical Geology Lab 1110L Section 4 Out of the twenty-four minerals that we have studied over the past weeks, I had one mineral on my mind that I wanted to take a deeper look into, and that is azurite. Just from being around friends with numerous different crystals, minerals, and gemstones I was always attracted azurite and was interested where it comes from. The blue color of it always caught my eye and just seemed so mysterious looking compared to
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Introduction 2 2. Problem Definition 2 2.1 Objective 2 2.2 Data Characteristics 2 2.3 Model Evaluation Method 3 2.4 Budgetary Constraints 3 2.5 Response rate without a model 3 3. Data Preparation and Pre-processing 4 3.1 File formatting 4 3.2 Missing Values 4 4. Experiments 4 4.1 Learning Algorithm Selection 4 4.2 Iteration Process 6 4.2.1. Attribute selection: 6 4.2.2. Changing Parameter settings 7 4.2.3. Data Normalization 7 4.2.4. Model Recommendation 8 4.2.4.1 Lift
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1.0 Introduction Iron is mined all over the world and contributes to a major part of the worlds economy. Especially in countries such as Australia, where mining is one of the main parts of the countries economy. For Australia, mining iron ore is key in keeping a strong foot in the worlds growing and changing market and for places like China, manufacturing steel is also a large part in their economy. Here we will show what exactly Iron ore is
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Business risks facing mining and metals 2012–2013 Organizations that succeed do so because they are best able to optimize the risk and reward equation for both strategic and operational issues. Contents The Ernst & Young business risk radar for mining and metals Executive summary The top 10 business risks 1. Resource nationalism 2. Skills shortage 3. Infrastructure access 4. Cost inflation 5. Capital project execution 6. Social license to operate Editorial — Prospects and perils: facing
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which has certain resources at its disposal to achieve this goal. In traditional approach , the organization is divided into different nits based on the functions they perform. These departments function in isolation and have their own systems of data collection and analysis. In enterprise way the entire organization is considered a system and all departments are its sub system, each sub system knows what others are doing , why they are doing and what should be done to move the company towards common
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iterative, methodical exploration of an organization’s data with emphasis on statistical analysis. Business analytics is used by companies committed to data-driven decision making. BA is used to gain insights that inform business decisions and can be used to automate and optimize business processes. Data-driven companies treat their data as a corporate asset and leverage it for competitive advantage. Successful business analytics depends on data quality, skilled analysts who understand the technologies
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underground service ramps"(“2010 Copiapo mining accident,” 2010). The mining company would now be faced with communicating the tragedy within not only the company, but with the trapped miner's families and loved ones. With such an audience at hand, careful consideration on delivery methods is of great importance. When a tragedy occurs, loved ones will often lose their cognitive and logical thinking abilities and essentially go into panic mode. One must collect data that will help to deliver the material
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1 MINING INDUSTRY - OVERVIEW AND RISKS FACTORS Definition of the Industry The mining industry encompasses a wide range of companies involved in different supply chain positions that represent exploration, development, extraction, processing, refining and sale of minerals and coal. With respect to the diverse set of business factors that affect the mining process, the business risk rating for the mining industry would be best qualified in terms of a credit rating of BBB (low). The justification
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Your Company Data-Friendly Spotlight 64 Harvard Business Review December 2013 Artwork Chad Hagen Nonsensical Infographic No. 5 2009, digital hbr.org Analytics 3.0 In the new era, big data will power consumer products and services. by Thomas H. Davenport T hose of us who have spent years studying “data smart” companies believe we’ve already lived through two eras in the use of analytics. We might call them BBD and ABD—before big data and after big data. Or, to use
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