Isaca Certification CGEIT Book

When considering an IT change that would enable a potential new line of business, the first strategic step for IT governance would be to ensure agreement among the stakeholders regarding a vision for the future state, because this would provide a clear direction and purpose for the change, and align the IT strategy with the business strategy. A vision statement should describe the desired outcomes and benefits of the change, and reflect the enterprise’s mission, values, and goals12. References := ISACA, CGEIT Review Manual, 7th Edition, 2019, page 23-24.

 According to the CGEIT exam guide, a root cause analysis (RCA) is a systematic process of identifying and analyzing the factors that cause an undesirable event or condition. It helps to determine the underlying causes of problems and issues, and to prevent their recurrence. A root cause analysis is the best way to enable the CIO to build a corrective action plan, as it provides a clear understanding of the reasons why IT service levels consistently fall below those outlined in the SLA, and suggests possible solutions and improvements. The other options are not sufficient to build a corrective action plan, as they do not address the root causes of the SLA failure. References: CGEIT Exam Candidate Guide, page 15. CGEIT Certification, Root Cause Analysis

A data steward is a subject matter expert who is responsible for defining and maintaining the integrity of a specific type of data or data domain1. They help the organization build data glossaries, create and maintain data quality rules, and determine who has access to data1. Data stewards also work closely with any system of record to ensure proper controls are in place and are maintained to ensure the data produced is of high quality2. Therefore, if the IT department has determined that problems with a business report are due to quality issues within a set of data, they should refer the matter to the data steward for resolution. References := CGEIT Review Manual, Chapter 3: Benefits Realization, Section 3.2: IT Value Delivery Processes, Subsection 3.2.4: Data Quality Management, Page 103.

The best way for an IT governance board to establish standards of behavior for the adoption of artificial intelligence (AI) is to direct the creation and approval of an ethical use policy. An ethical use policy is a document that defines the principles, values, and guidelines for the responsible and ethical design, development, and deployment of AI systems and applications within the enterprise. An ethical use policy can help to ensure that AI is aligned with the enterprise’s mission, vision, goals, and values, and that it respects the rights, dignity, and interests of all stakeholders, including customers, employees, partners, regulators, and society at large. An ethical use policy can also help to address the potential risks, challenges, and impacts of AI on various aspects such as privacy, security, fairness, accountability, transparency, trustworthiness, human dignity, human agency, social good, etc. According to ISACA’s article on Developing an Artificial Intelligence Governance Framework1, “an ethical use policy is essential for any enterprise that wants to adopt AI in a responsible and sustainable manner. An ethical use policy can help to establish trust and confidence in AI among the stakeholders and customers, and to avoid or mitigate any negative consequences or harms that may arise from AI.” Furthermore, according to ISACA’s article on Governance of Responsible AI: From Ethical Guidelines to Legal Frameworks2, “an ethical use policy can provide a common framework and language for the governance of AI across different domains, sectors, and regions. An ethical use policy can also facilitate the compliance with existing laws and regulations that may apply to AI.” Therefore, directing the creation and approval of an ethical use policy is the best way for an IT governance board to establish standards of behavior for the adoption of AI.