Part 1 explores the advantages and disadvantages data analytics brings in terms of ethics and organizational data governance. Data analytics in general or specific areas of data analytics can be explored, such as machine learning or artificial intelligence. Think in terms of automated processes, via data analytic techniques, processing organizational data in-transit and stored. In Part 2, you will research an existing data governance failure, in the area of data protection, and explain how future failures can be prevented in terms of data governance core areas of quality, security, privacy, and compliance. Part 3 helps reinforce the importance of ethics in data governance. Ethical considerations are important for any professional. However, access to sensitive data and the information resources of an organization requires a great awareness of ethical issues faced by their discipline. This part also fulfills a university-mandated general education literacy requirement. Instructions Part 1: Ethics and Technology Based on the readings and research, compose an informative report covering the assigned ethics and data governance topics. In the paper, describe at least three advantages and at least three disadvantages data analytics bring to an organization in terms of ethics and data governance. Remember, the focus is on ethics and data governance for data in-transit and stored. Be sure to detail both data governance and ethics. Part 1 should be 2–3 pages and must provide at least two references outside the assigned text. As part of the mastery requirements for this competency assessment, complete the following boldfaced item: Write an additional 1–2-page case study of a successful application of data governance. Include why data governance was successful. Part 2: Ethics and Data Management Thinking in terms of data governance, research a data protection failure. As you research, think in terms of four of the following data concerns: • Confidentiality • Integrity • Accessibility • Informed consent • Anonymity • Transparency • Responsibility • Sharing • Metadata Using the data protection failure you researched, apply the data governance core areas of quality, security, privacy, and compliance against four of the above data concerns. For instance, if you chose Anonymity, your breakdown to cover would be: Anonymity Quality Security Privacy Compliance Finally, summarize which core area and concern was the most vulnerable in the data protection failure and what could be done in a data governance plan to prevent future occurrences. Part 2 should be 2–3 pages and must provide at least two references outside the assigned text. As part of the mastery requirements for this competency assessment, complete the following boldfaced item: Write an additional 1–2 pages about prioritizing the core areas of quality, security, privacy, and compliance. Support your reasoning. Part 3: Based on the knowledge you have achieved thus far in this class, compose a minimum 2-page, double-spaced research paper, in Microsoft Word, using the current APA version with a title page and reference page. Discuss the ethical arguments of organizations using social media data for both business purposes and researching individuals. Why can this be a data governance concern? What kind of data concerns can happen? How can data governance and ethics be applied to prevent these data concerns? Be sure to include the ethical issues of your discussion, particularly how ethical considerations can be applied in data governance and what actions would be unethical to apply.
