Which activity is NOT part of data governance?

Which activity is NOT part of data governance?

• A. Engage in issue management
• B. Perform Discovery and Business Alignment
• C. Develop software applications
• D. Sponsor data standards and procedures

Answer: (C)

Developing software applications is not typically regarded as a core activity within data governance. Data governance primarily involves the management and oversight of data assets to ensure their availability, usability, integrity, and security. It is concerned with establishing a framework for making decisions about data, setting data standards, and ensuring compliance with regulations. Engaging in issue management is an essential part of data governance as it involves identifying, tracking, and resolving data-related problems that could affect the organization's data quality or regulatory compliance. This helps maintain the integrity of data governance practices and ensures that any issues are promptly addressed. Performing Discovery and Business Alignment is also a key activity within data governance. This involves understanding the data needs of the business and aligning data governance initiatives with business objectives, which is crucial for effective decision-making and maximizing the value of data assets. Sponsoring data standards and procedures is a fundamental aspect of data governance. This activity establishes the guidelines and policies for managing data, ensuring consistency, quality, and adherence to regulations across the organization. Data standards are critical in promoting good data management practices. In contrast, while developing software applications may involve managing data within applications, it does not fall under the overarching framework of data governance, which is more focused on policies, procedures, and the

Developing software applications is not typically regarded as a core activity within data governance. Data governance primarily involves the management and oversight of data assets to ensure their availability, usability, integrity, and security. It is concerned with establishing a framework for making decisions about data, setting data standards, and ensuring compliance with regulations.

Engaging in issue management is an essential part of data governance as it involves identifying, tracking, and resolving data-related problems that could affect the organization's data quality or regulatory compliance. This helps maintain the integrity of data governance practices and ensures that any issues are promptly addressed.

Performing Discovery and Business Alignment is also a key activity within data governance. This involves understanding the data needs of the business and aligning data governance initiatives with business objectives, which is crucial for effective decision-making and maximizing the value of data assets.

Sponsoring data standards and procedures is a fundamental aspect of data governance. This activity establishes the guidelines and policies for managing data, ensuring consistency, quality, and adherence to regulations across the organization. Data standards are critical in promoting good data management practices.

In contrast, while developing software applications may involve managing data within applications, it does not fall under the overarching framework of data governance, which is more focused on policies, procedures, and the