...Original Contributions Data Mining Applications in Healthcare Hian Chye Koh and Gerald Tan A B S T R A C T Data mining has been used intensively and extensively by many organizations. In healthcare, data mining is becoming increasingly popular, if not increasingly essential. Data mining applications can greatly benefit all parties involved in the healthcare industry. For example, data mining can help healthcare insurers detect fraud and abuse, healthcare organizations make customer relationship management decisions, physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services. The huge amounts of data generated by healthcare transactions are too complex and voluminous to be processed and analyzed by traditional methods. Data mining provides the methodology and technology to transform these mounds of data into useful information for decision making. This article explores data mining applications in healthcare. In particular, it discusses data mining and its applications within healthcare in major areas such as the evaluation of treatment effectiveness, management of healthcare, customer relationship management, and the detection of fraud and abuse. It also gives an illustrative example of a healthcare data mining application involving the identification of risk factors associated with the onset of diabetes. Finally, the article highlights the limitations of data mining and discusses some future directions....
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...| CASE 2 | Fortescue Metals Group: The new force in iron ore | ABC 9/12/2011 | Contents Introduction 1 Analyzing the external environment 1 Demographic 1 Economic 1 Socio-culture 2 Political-legal 2 Global 2 Technological 2 External environment conclusion 2 Industry analysis 3 Profit pool 3 Porter five forces 3 Threat of new entry 3 Bargaining power of suppliers 4 Bargaining power of buyers 4 Threat of substitute products 4 Rivalry among competing firms 4 Industry analysis conclusion 4 Competitor analysis 4 Analyzing the internal environment 5 Tangible resources 5 Intangible resources 6 Value chain analyzing 6 Capabilities 6 Core competencies 7 Weaknesses 7 Current strategy 7 Future strategy 8 Concluding remarks 8 References 9 Introduction Fortescue Metals Group: The new force in iron ore is a new company in the Australia with new vision. It was founded in 2003 with the aim of lowest cost producer in order to complete with large players of industry. Its main customer is China. Its lowest cost structure is main reason behind getting huge business from china. It had to faced many challenges in the industry but its strong policies supported company to make its distinct position in the industry Analyzing the external environment Every business/ company has external environment with some positive and negative points. Below is the analysis of Fortescue external environment. Demographic According to information...
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...Canadian mining- Impact of cost inflation and volatility and the road ahead Introduction With a 9.8% share of Canada’s GDP, the mining sector is critical to the future of the Canadian economy (Deloitte Report). Unfortunately, rising cost inflation, unprecedented volatility in commodity and energy prices and a strong Canadian dollar have negatively impacted the performance of this sector over the last year. This report seeks to uncover the drivers behind cost inflation and evaluate the hedging strategies utilized by Canadian companies to mitigate volatility through a case study of Barrick Gold. We will also examine the impact of tightening margins on the capital expenditure decisions of this company. Part 1: Cost Inflation Cost inflation in the mining industry has been driven by increases in both Operational expenses and Capital expenditures. Operational expenses have been driven by three factors 1) Wage Increases 2) Energy Costs and 3) Supply cost increases. Wages in this industry have increased dramatically over the past 10 years and the Canadian mining industry now boasts the highest wages of all industrial sectors in Canada. The average weekly pay for a mining worker in 2011 was $1,436, which surpassed the earnings of workers in forestry, manufacturing, finance and construction by 47%, 46%, 35% and 32% respectively (DELOITTE REPORT) Source: Mining Association of Canada – 2012 Facts & Figures Report http://www.mining.ca/www/media_lib/MAC_Documents/P...
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...Glencore, Xstrata and the Restructuring of the Global Copper Mining Industry in 2012 Diana Alvarez Valencia (1310200) University Canada West Dr. Paul Rome MGMT 661 Strategic Management Tuesday, May 12, 2015 Introduction and Problem Identification In this case study we will identify the problems that can be issued in the process of the merger between two of the largest commodities traders in the world, Glencore and Xstrata. It will provide the background of both companies, the situation analysis, identification of alternatives Companies Background. Glencore had been a trading company since their early years with the name of Marc Rich & Co. Glencore, was founded by March Rich; Rich was a consummate dealmaker, doing business with the entire world no matter their country background (fascist or communists). Moreover, Marc Rich always tried to get the cheapest price with his Middle Eastern contacts. His most important clients were embargoed nations like Israel and South Africa. In 1983, the US government indicted Rich on charges of illegal trading and tax evasion. After different issues and in the sake of create a better reputation the company – Marc Rich & Co. - rebranded itself as Glencore. (Hitt, Ireland & Hoskisson, 2013). Furthermore, one of the Glencore’s practices, is to get cheap tier 2 assets from doing business in developing countries considered high-risk by others rather than developing on its own. In 2002, Glasenberg become the CEO of the company.(Hitt, Ireland...
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...Case Study 2 A case study submitted to Webber International University In partial fulfillment for the Bachelor of Science degree in Business Administration By: Amber S. Ottilige Date: Apr. 20, 2014 Course: MBA683 International Logistics Management Semester: Spring 2014 Instructor: Dr. Schwarze When a company chooses to expand or to grow, there are many goals and objectives for the company to fulfill before expanding and growing. These goals and objectives can be large or small for the company. The main reason for them is to have the company grow in the future successfully. For these goals to be achieved, the company needs to implement different strategies to help the company grow as a whole. These strategies will help the company achieve the goals and objectives and also help with any future goals and objectives for other future growth of the company. De Beers Diamond is a private cartel of companies that dominate diamond and the diamond mining industry and also the diamond trading sectors around the world. The founder of De Beers Diamond Company is Cecil Rhodes in 1888 with their headquarters located in Luxemburg. The company serves the entire world for trading and shipping diamonds, but actually the mining is done specifically in Botswana, Namibia, South Africa and Canada. De Beers Diamond has many top gem and jewelry competitors, which are Tanishq, Nakshatra, Ddamas, Tiffany and Company, and Leviev. The company...
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...growth Orica was formed when British chemical company ICI plc divested its Australian operations in 1997. Since then, Orica has pursued opportunities for organic growth, category expansion, mergers and acquisitions (including the acquisition of the global explosives interests of ICI Plc) that have marked Orica’s transformation into a global company. Orica today pursues a focused strategy targeted at the provision of services to mining, construction and infrastructure industries. It operations are conducted as three separate businesses - Orica Mining Services (OMS), Minova, and Orica Chemicals, each a leader in its chosen market. Orica Mining Services (OMS) is the global market leader in the supply and servicing of commercial explosives and blasting systems to the mining, quarrying and infrastructure sectors. Commercial explosives, initiating systems and Blast-Based Services are its main offerings. The business is run globally with a presence in Australia, Asia, Europe, the former Soviet Union, Africa, the Middle East, North America and Latin America. Mining services contributed to 55% of the 2010 revenues. OMS business activities are guided by three pillars: Page 2 of 8 • Strategy - planning for business growth • Efficiency – productivity improvements and capital management • Culture – having common attitudes, behaviours and ethics. Orica in Russia Russia, the largest country in the world, has always been known for its vast abundance of natural resources including oil, natural...
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...Data Mining Nabeel Ahmed University of Northern Virginia Abstract ‘The vein of research data is almost always richer than it appears to be on the surface, but it can only be of value if mined.—Morris Rosenberg’ (AGOSTA, 2000) Recent years, Data Mining has become hot topic of enterprises. More and more companies intend to introduce data mining techniques. One report from the United States treats data mining as one of the ten favorable fields in the 21st century, of which by means shows its importance. Generally speaking, data mining are often applied in those fields, such as insurance and finance industries, retailing and direct marketing industries, communication industry, manufacturing industry and Medical service industry, etc. The data related to management decision making has been accumulating surprisingly quickly because of the improvement in high technology. As the byproduct of internet, e-commerce, e-banking, pos system, barcode scanner and intelligent robot, the acquirement of electronic data has already become cheap and existing everywhere. These data are normally stored in data warehouse and data marts to provide assistance for management decision-making. Data mining is a fast growing field, its main target is to develop some techniques to assist the managers in intelligent analyzing and utilizing mass data. Data mining was already being reported in successfully utilized in the aspects of credit rating, fraud detection, database marketing, customer relationship...
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...! ! Group Project: Ethics of the Mining Industry Group 4 Business Ethics 04-71-300-02 Professor Singh Date submitted: March 19th, 2014 ! ! ! ! ! ! ! ! ! ! ! ! ! !1 Executive Summary This report assesses the global mining industry from a business perspective. Firstly, it begins with the history of mining across the globe and the structure of the mining industry. It then analyzes the impacts of the mining industry globally. Lastly, it addresses the issues surrounding our land—the Canadian mining industry. The research shows that the history of mining goes as far as the Neolithic era. The mining value chain presented demonstrates the formation of a mining company to the extraction of the natural resources. Further investigation shows that the mining structure is an oligopoly. Methods of analysis include an environmental analysis using PEST and a stakeholder map, which focus on the performance of a world-renowned mining company TransAlta. The finding is that management’s role is to have efficiency and productivity while maintaining ethical practices. Ethical theories are then used to look at the social, environmental and economical impacts of the Canadian industry. It is concluded that each ethical theory presents a favorable solution to each impact. Social corporate responsibility is evaluated in the last ten years in Canada and around the globe. It is found that the industry has become one of the most safety-conscious industries within Canada. The companies still...
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...economic impact of gold Contents Foreword ........................................................................................................................................................................1 Executive summary .......................................................................................................................................................1 Background ....................................................................................................................................................................1 Key findings ...................................................................................................................................................................1 Scope of analysis and...
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...Table of Contents Introduction 2 Assumptions 3 Data Availability 3 Overnight processing window 3 Business sponsor 4 Source system knowledge 4 Significance 5 Data warehouse 6 ETL: (Extract, Transform, Load) 6 Data Mining 6 Data Mining Techniques 7 Data Warehousing 8 Data Mining 8 Technology in Health Care 9 Diseases Analysis 9 Treatment strategies 9 Healthcare Resource Management 10 Customer Relationship Management 10 Recommended Solution 11 Corporate Solution 11 Technological Solution 11 Justification and Conclusion 12 References 14 Health Authority Data (Appendix A) 16 Data Warehousing Implementation (Appendix B) 19 Data Mining Implementation (Appendix B) 22 Technological Scenarios in Health Authorities (Appendix C) 26 Technology Tools 27 Data Management Technology Introduction The amount of information offered to us is literally astonishing, and the worthiness of data as an organizational asset is widely acknowledged. Nonetheless the failure to manage this enormous amount of data, and to swiftly acquire the information that is relevant to any particular question, as the volume of information rises, demonstrates to be a distraction and a liability, rather than an asset. This paradox energies the need for increasingly powerful and flexible data management systems. To achieve efficiency and a great level of productivity out of large and complex datasets, operators need have tools that streamline the tasks of managing...
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...MINING I INTRODUCTION Brief Historical Background Digging deep into history, mining in the Philippines is one of the oldest industries in the country. Gold mining in Luzon started even in the 3rd century as reported by the Chinese merchants. Before the advent of the Spanish rule, metals—primarily gold—played an important role in shaping traditions and rituals, in indigenizing certain features of Filipino beliefs, and in developing patterns of wealth, power and authority during the period. The spirit of Spanish expansionism was at its crest when it reached the Philippines in the second half of the sixteenth century. The archipelago became the base of further efforts to conquer and evangelize new areas and design new trade routes in search primarily of spices but also of gold and other precious merchandise. The Spaniards failed to develop mining in the country, but left behind one of the basic building blocks of the present-day mining laws–the Regalian Doctrine. In essence, the Regalian Doctrine stipulates that all minerals and substances underneath all lands, public or private belong to the state. In effect, the law rests on the principle of eminent domain which reserves to the state the right to develop the mines on its own initiative or through private concessions. With the Americans, mining industries accelerated as the country’s economy strengthened its links to the needs of the industrialized countries like the US. The growth of the mining industry in the Philippines...
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...2. Data mining search parameters A data mining algorithm is a set of heuristics and calculations that creates a data mining model from data. To create a model, the algorithm first analyzes the data you provide, looking for specific types of patterns or trends. The algorithm uses the results of this analysis to define the optimal parameters for creating the mining model. These parameters are then applied across the entire data set to extract actionable patterns and detailed statistics. The mining model that an algorithm creates from your data can take various forms, including: * A set of clusters that describe how the cases in a dataset are related. * A decision tree that predicts an outcome, and describes how different criteria affect that outcome. * A mathematical model that forecasts sales. * A set of rules that describe how products are grouped together in a transaction, and the probabilities that products are purchased together. Microsoft SQL Server Analysis Services provides multiple algorithms for use in your data mining solutions. These algorithms are implementations of some of the most popular methodologies used in data mining. All of the Microsoft data mining algorithms can be customized and are fully programmable using the provided APIs, or by using the data mining components in SQL Server Integration Services. You can also use third-party algorithms that comply with the OLE DB for Data Mining specification, or develop custom algorithms that can be...
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...Data mining is an iterative process of selecting, exploring and modeling large amounts of data to identify meaningful, logical patterns and relationships among key variables. Data mining is used to uncover trends, predict future events and assess the merits of various courses of action. When employing, predictive analytics and data mining can make marketing more efficient. There are many techniques and methods, including business intelligence data collection. Predictive analytics is using business intelligence data for forecasting and modeling. It is a way to use predictive analysis data to predict future patterns. It is used widely in the insurance, medical and credit industries. Assessment of credit, and assignment of a credit score is probably the most widely known use of predictive analytics. Using events of the past, managers are able to estimate the likelihood of future events. Data mining aids predictive analysis by providing a record of the past that can be analyzed and used to predict which customers are most likely to renew, purchase, or purchase related products and services. Business intelligence data mining is important to your marketing campaigns. Proper data mining algorithms and predictive modeling can narrow your target audience and allow you to tailor your ads to each online customer as he or she navigates your site. Your marketing team will have the opportunity to develop multiple advertisements based on the past clicks of your visitors. Predictive...
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...High Risk – Low Return: The case against uranium mining in Queensland Australian Conservation Foundation Australian Manufacturing Workers Union Electrical Trades Union Friends of the Earth North Queensland Conservation Council Queensland Conservation Council Queensland Nuclear Free Alliance The Wilderness Society Cover picture: Mine tailings dam failure at Merriespruit, South Africa gold mine. On the day of the failure 50mm of rain fell in 30 minutes, comparable to flooding rain quantities in Qld in recent summers (source: tailings.info) High Risk – Low Return: The case against uranium mining in Queensland 1. Overview 2. Overstated economic potential 3. Environmental Impacts 4. Radiation and Health 5. Uranium and Indigenous Communities 6. Inadequate Regulation 6.1 Unresolved regulatory and operational issues 7. Beyond mining 7.1 Transportation 7.2 The myth of the peaceful atom: Weapons Proliferation 7.3 The myth of clean energy from nuclear power 7.4 A positive way forward for Queensland 8. Conclusions This report was prepared under the joint auspices of the unions and environmental and social justice groups listed on the cover. March 2013. Authors: R. Taubenfeld, D. Sweeney, J. Green High Risk – Low Return: The case against uranium mining in Queensland In October 2012 the LNP government broke its clear commitment not to allow uranium mining in Queensland. This commitment was the position of the LNP at the March 2012 state election and was reaffirmed...
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...Prepared For M. Nazmul Amin Majumdar Course Instructor BRACU Business School BRAC University Prepared By Shiab Khan (13164039) Sanzida Parvin (13164025) Tanzir Islam (13164087) SK Yaishi Binte Zaman (12264035) Ahammed Riaz(13164009) Date of Submission: April 2, 2015 BHP Billiton Limited Introduction: BHP Billiton is world’s largest diversified natural resources company. The company was created by the merger of two companies, BHP Ltd (An Australian mining company) and Billiton PLC (An UK based Company). BHP Billiton has created long time share holder value through the discovery, acquisition and development of natural resources. In the last few years, BHP Billiton has faced some governance challenges in conducting their business around the world. For overcoming those challenges several strategic drivers has been taken by BHP Billiton. This report mainly focused on external and internal environment, strength and weakness, Governance challenges and strategic drivers of BHP Billiton. Overview of BHP Billiton: BHP Billiton is a Dual Listed Company (DLC) comprising BHP Billiton Limited and BHP Billiton Plc. BHP Billiton was created through the DLC merger of BHP Limited (now BHP Billiton Limited) and Billiton Plc (now BHP Billiton Plc), which was concluded on 29 June 2001. BHP Billiton is a leading global resources company. The purpose is to create long-term shareholder value through the discovery, acquisition, development and marketing of natural resources. BHP Billiton are among...
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