-2 Final Project Milestone One: Select Use Case Scenario and Evaluate Ethical Implications

Paper details:

Overview: You will submit a submit a three- to four-page scenario summation that includes the potential business value data, analytic structure, the application of the CRISP-DM process, and your proposal for the analytic tool you will use in your project. Also, you will include a summary of the ethical implications identified in your data. You will summarize the potential ethical concerns for the data source chosen. Prompt: For your final project, you have been tasked with developing a data analysis enterprise strategy that will add business value. In this assessment, business value is the value or benefit added to your organization from the incorporation and use of a data strategy. Develop an architecture and strategy, and then convince the organizational executives that your plan will add necessary value to the organization. For this milestone, review the three use case scenarios available for your final data analytic solution in the Use Cases document in the Assignment Guidelines and Rubric area of the course. Select ONE of the use case scenarios for your milestones and final project. Complete a draft of an introduction that addresses the following critical elements: I. Identify data sources and analytic structures that generate business value. a. Describe how the given data sources could potentially provide business value for your organization. Include an explanation of how the CRISPDM process will enable proper execution. b. Given the organizational context and the list of available data and sources, describe the purpose behind the descriptive and predictive analytic structure you will use. Explain how the structure fits the organization and how it could provide additional support, benefits, and values for the organization as a whole. c. Based on your experience and knowledge, propose analytic tools to use in your data research and modeling. What elements factor into your consideration in choosing this tool? d. What additional data fields would you like to include in your model that are not in the given data set? How will these fields add value in combination with your current data? Be sure to cite examples and support your reasoning. II. Evaluate potential ethical implications for the chosen data analytic structure. a. Evaluate the ethical implications of the data set for the organization. In other words, what fields could potentially be ethically damaging to the organization if used as a part of your model (e.g., “marriage” or “gender” fields)? b. Recommend a strategy for addressing the ethical implications. Given the implications that you have identified, how would you highlight the ethical aspects for the organization’s review? Describe how you would address using those fields in light of these ethical implications. Guidelines for Submission: Your paper must be submitted as a 3- to 4-page Microsoft Word document with double spacing, 12-point Timagnes New Roman font, and one-inch margins.