Which of the following is a touchpoint for data governance?

Which of the following is a touchpoint for data governance?

• A. Data Lifecycle Management
• B. SDLC Development
• C. Data Acquisition
• D. Data Storage Management

Answer: (B)

Data governance encompasses a wide range of processes and practices that ensure data is managed appropriately, which includes establishing policies, standards, and procedures for data handling across an organization. The correct choice encompasses a critical aspect of how data is developed and managed throughout its lifecycle. In the context of the software development life cycle (SDLC), data governance plays a significant role as it involves planning, creating, and maintaining the software that will utilize data. During this process, it is crucial to implement governance practices to ensure that data is stored, retrieved, used, and managed in compliance with regulations and organizational standards. This includes establishing requirements for data quality, security, and privacy from the inception of application development, which directly informs the way data is treated within the system. While other options such as data lifecycle management, data acquisition, and data storage management are also relevant to data governance, they operate within the broader context of establishing governance frameworks rather than being foundational touchpoints for data governance in the same direct manner as the SDLC. Each of those areas contributes to overall data management strategies, but the SDLC represents a stage where specific governance policies are applied to ensure proper data usage and compliance as the software progresses from design through deployment.

Data governance encompasses a wide range of processes and practices that ensure data is managed appropriately, which includes establishing policies, standards, and procedures for data handling across an organization. The correct choice encompasses a critical aspect of how data is developed and managed throughout its lifecycle.

In the context of the software development life cycle (SDLC), data governance plays a significant role as it involves planning, creating, and maintaining the software that will utilize data. During this process, it is crucial to implement governance practices to ensure that data is stored, retrieved, used, and managed in compliance with regulations and organizational standards. This includes establishing requirements for data quality, security, and privacy from the inception of application development, which directly informs the way data is treated within the system.

While other options such as data lifecycle management, data acquisition, and data storage management are also relevant to data governance, they operate within the broader context of establishing governance frameworks rather than being foundational touchpoints for data governance in the same direct manner as the SDLC. Each of those areas contributes to overall data management strategies, but the SDLC represents a stage where specific governance policies are applied to ensure proper data usage and compliance as the software progresses from design through deployment.