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Operational Risk Management
Operational Risk Management

... Maintain an effective control environment related to activities developed by the conglomerate; to its systems of financial, operational and managerial information; to the compliance with applicable internal and external rules; and consistent with the nature, complexity and risk of operations; ...
Chapter 2. Research Process
Chapter 2. Research Process

... Unit of analysis ...
PhD Research Studentships - Glasgow Caledonian University
PhD Research Studentships - Glasgow Caledonian University

... The project is particularly suited to students from an environmental science or electronic engineering background with good statistical skills (Excel is essential, SPSS would is desirable), however applications are also welcome from students from related disciplines such as chemistry, physics, and e ...
Research: Information or Knowledge??
Research: Information or Knowledge??

... What is going to be the demand for a new product or an existing product in a new market Where should we build our next retail location At what price point we can maximize profitability and maintain consumer demand Which media vehicles will be most effective to communicate our advertising message Etc ...
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... Data latency reduction • Right-time constraint makes classical ETL and ODS approaches unfeasible • On-the-fly techniques are needed: – Cleaning techniques devised so far rely on the presence of a materialized integrated level. – Data stream manipulation still presents many challenges (i.e complex qu ...
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Biomedical Engineering Graduate Program in METU / ANKARA
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Unit 2: Research Methods NOTES
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further particulars - School of Mathematics

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Operations research

Operations research, or operational research in British usage, is a discipline that deals with the application of advanced analytical methods to help make better decisions. It is often considered to be a sub-field of mathematics. The terms management science and decision science are sometimes used as synonyms.Employing techniques from other mathematical sciences, such as mathematical modeling, statistical analysis, and mathematical optimization, operations research arrives at optimal or near-optimal solutions to complex decision-making problems. Because of its emphasis on human-technology interaction and because of its focus on practical applications, operations research has overlap with other disciplines, notably industrial engineering and operations management, and draws on psychology and organization science. Operations research is often concerned with determining the maximum (of profit, performance, or yield) or minimum (of loss, risk, or cost) of some real-world objective. Originating in military efforts before World War II, its techniques have grown to concern problems in a variety of industries.
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