Description Introduction: This portfolio work project will help you evaluate the results of advance ...

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Description Introduction: This portfolio work project will help you evaluate the results of advanced analytics projects and identify potential errors or issues with the application of the methods or the alignment between methods and business problems, and propose possible solutions. Scenerio: Recently, the executive team in your organization has made some major business decisions based on the results of the analytics group's projects and has seen mixed results. Some of the decisions made based on the analytics group's results have been successful, but others have been huge failures and very costly for the organization. The executives are now questioning their trust in this group's ability to analyze data appropriately to address business problems. They have put the analytics group into a probationary period of 90 days, after which they will decide whether to retain the advanced analytics group, or to disband the group. As head of the marketing department, they have placed you in charge of this group's performance for the next 90 days, and have asked that you review all work that comes from this department prior to it being sent to the executives. You will apply this scenario to either Option A or Option B described in the Requirements section. Your role: You are the head of the marketing department and have been placed in charge of the analytics group for their 90-day probationary period. You are now responsible for the quality, accuracy, and reliability of the results reported out from the analytics group, and are responsible for reviewing all work prior to it being presented to the executive committee. Requirements: Choose one of the following options: Option A An analyst has conducted an A/B test to compare the revenue per visitor for the same banner ad media run on two different websites. The results of this analysis are included here. You have decided to evaluate the results and use it as an example in a training session for the analytics group on how to conduct a critical evaluation of results from an analysis. Resources: Option A data [XLSX] Download Option A data [XLSX]. Option A results [DOCX] Download Option A results [DOCX]. Option B An analyst has run a regression analysis to attempt to predict whether someone will pre-pay their car loan (resulting in a loss of interest revenue for the organization). The results of this analysis are included here. You have decided to evaluate the results and use the evaluation as an example in a training session for the analytics group on how to conduct a critical evaluation of results from an analysis. Resources: Option B data [XLSX] Download Option B data [XLSX]. Option B results [DOCX] Download Option B results [DOCX]. For Either Option A or B Using the data provided for the option you have selected, evaluate the results of the analysis, paying attention to the alignment of the method selected to the business problem being addressed, the testing of assumptions required to use the selected method, and potential issues with generalizations, and the usability of the results. Create a training presentation that includes: Evaluate the alignment of the method selected to the business problem being addressed. Evaluate whether the requirements to use the selected method were checked. Were the assumptions met? Evaluate potential issues with the generalization and usability of the results. Were they included in the analysis results? Propose methods to address any issues that arise from the evaluation process.