Analytical Thinking and Decision Making - iResearch Case Study Report
VerifiedAdded on 2021/07/05
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This report provides a comprehensive analysis of the iResearch decision-making case study, focusing on the application of decision analysis techniques to a complex business problem. The report addresses the value of decision analysis within an organization, outlines the challenges faced by iResearch, and discusses the assumptions made. It applies decision analysis to develop an appropriate decision tree, calculates expected values using the rollback method, and outlines the most suitable approach for iResearch, along with recommendations for the managers. The strengths and limitations of the analysis are discussed, along with the influence of probability estimates and uncertainty within the decision-making process. The report also considers the impact of iResearch engineers changing their initial probability estimates. The analysis covers the development of software applications for production and engineering management companies, considering both web-based and mobile platforms, and evaluating different software packages (A, B, C, and D) with varying costs and probabilities of success. The report also considers the financial implications of the project, including proposal costs, contract payments, and development costs. The report is structured with clear sections, an introduction, and a conclusion, and adheres to Harvard referencing style.
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