Isaca CGEIT Exam Dumps

A data steward is a functional role in data management and governance, with responsibility for ensuring that data policies and standards turn into practice within the steward's domain.Data stewards assist the enterprise in leveraging domain data assets to full capacity1. One of the primary responsibilities of a data steward is to establish data quality requirements and metrics, which define the criteria and measures for assessing the fitness of data for its intended use.Data quality requirements and metrics are based on the business needs and expectations of the data consumers, and they cover various dimensions of data quality, such as accuracy, completeness, consistency, timeliness, validity, and reliability23.Data stewards also monitor and report on the data quality performance, identify and resolve data quality issues, and implement continuous improvement initiatives to enhance the data quality4.

The other options are not the primary responsibility of a data steward, especially at an enterprise with mature data management programs.Implementing processes for data collection and use is a responsibility of a data engineer or a data analyst, who design and execute the technical aspects of data acquisition, transformation, storage, and analysis5. Ensuring compliance with data privacy laws and regulations is a responsibility of a data protection officer or a data privacy officer, who oversee the legal and ethical aspects of data processing, security, and consent. Developing data-related policies and procedures is a responsibility of a data governance committee or a data governance officer, who set the strategic direction and objectives for data management and governance across the enterprise.

The first thing that should be done when developing the metadata management process for the new software platform is to request an impact analysis.An impact analysis is a process of assessing the potential effects of a change on the existing system, processes, and stakeholders1.An impact analysis can help to identify the following aspects2:

The scope and objectives of the change: What are the expected benefits and outcomes of the new software platform? How does it align with the enterprise strategy and goals?

The current state and baseline: What are the existing data sources, formats, standards, and quality levels? How are they documented, stored, and accessed? Who are the data owners, stewards, and users?

The gaps and risks: What are the data changes that will occur due to the new software platform? How will they affect the data quality, security, privacy, and compliance? What are the potential challenges or issues that may arise during or after the transition?

The mitigation and contingency plans: How can the data changes be minimized or avoided? How can the data quality, security, privacy, and compliance be ensured or improved? What are the alternative solutions or fallback options in case of failure or disruption?

By requesting an impact analysis, the organization can gain a better understanding of the data environment and the implications of the new software platform.This can help to develop a metadata management process that is consistent, effective, and adaptable to the change.Reference: Impact Analysis: A Key Aspect of Preventing Problems | Project ...1, Impact Analysis: The Key to Successful Change Management2

Business ethics is the application of ethical values to business behaviour.It encompasses the people, processes, and technologies required to manage and protect data assets1.Promoting business ethics within the IT enterprise should be the primary objective because it ensures trust among internal and external stakeholders, such as customers, employees, suppliers, regulators, and society234.Trust is important because it makes cooperation possible, enhances performance, fosters engagement, and creates long-term value21. While the other options are also desirable outcomes of business ethics, they are not the primary objective. Employees acting more responsibly, corporate social responsibility, and legal and regulatory compliance are all consequences of trust-building rather than the main goal.Reference:

2: https://www.ibm.com/topics/data-governance

1: https://www.cio.com/article/202183/what-is-data-governance-a-best-practices-framework-for-managing-data-assets.html

3: https://www.sailpoint.com/identity-library/enterprise-data-governance/

4: https://atlan.com/enterprise-data-governance/

According to the web search results, the primary benefit of communicating the IT strategy across the enterprise is to reduce organizational resistance during strategy execution. This is because communication can help to create a shared understanding and vision of the IT strategy, and to foster trust and commitment among the stakeholders.Communication can also help to address the concerns and expectations of different groups, and to overcome the barriers and challenges that may arise during the implementation of the IT strategy1. The other options are less important than option D, as they are not directly related to communication, but rather to other factors such as project management, performance measurement, and investment optimization.Reference:=

How to Communicate Your Company's Strategy Effectively

A root cause analysis is the first step to identify the factors that are causing the loss of top talent and to devise appropriate solutions. A SWOT analysis, an incentive and retention program, and an aggressive talent acquisition program are possible outcomes of a root cause analysis, but they are not the first action to take.Reference:= CGEIT Review Manual, 7th Edition, page 103.