Ethical dimensions of sustainable development and their relevance to Organisations: A case study of Coltan Mining Industry Author Institution Course title Instructor Date Introduction Sustainability and its use in enhancement of a sustainable development has become a major concern in the world economy. Many international documents including Agenda 21 on ethics highlights how governments and corporate bodies may achieve sustainable development. One of the strategies suggested by the document
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Data warehousing and OLAP Swati Vitkar Research Scholar‚ JJT University‚ Rajasthan. Abstract: Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support‚ which has increasingly become a focus of the database industry. Many commercial products and services are now available‚ and all of the principal database management system vendors now have offerings in these areas. Decision support places some rather different requirements on database technology compared
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DATA COLLECTION Business Statistics Math 122a DLSU-D Source: Elementary Statistics (Reyes‚ Saren) Methods of Data Collection 1. 2. 3. 4. 5. DIRECT or INTERVIEW METHOD INDIRECT or QUESTIONNAIRE METHOD REGISTRATION METHOD OBSERVATION METHOD EXPERIMENT METHOD DIRECT or INTERVIEW Use at least two (2) persons – an INTERVIEWER & an INTERVIEWEE/S – exchanging information. Gives us precise & consistent information because clarifications can be made. Questions not fully understood by the respondent
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DATA COMPRESSION The word data is in general used to mean the information in digital form on which computer programs operate‚ and compression means a process of removing redundancy in the data. By ’compressing data’‚ we actually mean deriving techniques or‚ more specifically‚ designing efficient algorithms to: * represent data in a less redundant fashion * remove the redundancy in data * Implement compression algorithms‚ including both compression and decompression. Data Compression
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discussed and all concluded that data analysis methods help us understand facts‚ observe patterns‚ formulate explanations‚ and try out the hypotheses. Not only does it help us understand facts‚ but they we also discovered that data analysis is used in science and business‚ and even administration and policy-making processes. We’ve found out the data analysis can be carried out in all fields‚ including medicine and social sciences. Once an analysis is conducted the data that is carried out is documented
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240 - INTRODUCTION TO DATA PROCESSING/MANGEMENT OF INFORMATION TECHNOLOGY Objectives To give a thorough and up-to-date grounding in the realities of commercial applications of Information and Communication Technologies (ICT’s). To Examine the roles of data‚ information and knowledge within modern business organisations‚ and the roles that information and communication technologies (ICT’s) play in supporting people and groups within organisations. To provide students with a thorough understanding
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Memory Technique Memory Technique Organize the information is the memory process chosen to improve memory. Dividing all the information into categories is a good way to organize all the information in the long term memory. By doing this‚ one can remember whatever they choose to remember. Highlighting chapters‚ taking plenty of notes‚ describing‚ and listing any relevant terms will help anyone with the amount of information they will be able to recall later. There are three stages of memory
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SMOOTHING TECHNIQUES Several techniques are available to forecast time-series data that are stationary or that include no significant trend‚ cyclical‚ or seasonal effects. These techniques are often referred to as smoothing techniques because they produce forecasts based on “smoothing out” the irregular fluctuation effects in the time-series data. Three general categories of smoothing techniques are presented here: • Naive forecasting models are simple models in which it is assumed that the
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| A PESTLE Analysis of Mongolian Mining Industry | | | Hui Wu (Meredith) | 09/04/2010 | | A PESTLE analysis of the Mongolian mining industry 2 1. Executive summary 2 2. Introduction 3 3. PESTLE Analysis 3 4. Analysis of the future environment 8 5. Entry mode options 8 6. Potential risks 9 7. Recommendations and strategic option 10 8. Conclusion 11 9. Bibliography 11 A PESTLE analysis of the Mongolian mining industry 1. Executive summary This report has analysed the
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DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly‚ and there is growing enthusiasm
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