Which term best describes overseeing governance practices for data quality and standards?

Which term best describes overseeing governance practices for data quality and standards?

• A. Data Stewardship
• B. Data Analysis
• C. Data Regulation
• D. Data Management

Answer: (A)

The term "Data Stewardship" accurately defines the responsibility of overseeing governance practices related to data quality and standards. Data stewards play a crucial role in ensuring that data within an organization is reliable, accurate, and appropriately managed according to established guidelines. They are tasked with defining data quality metrics, implementing data governance policies, and providing guidance on data usage to maintain the integrity and value of data assets. Data stewardship involves collaboration across various departments to ensure that data standards are adhered to, and it often includes monitoring data quality initiatives, resolving data-related issues, and advocating for best practices in data handling. By establishing and maintaining these governance practices, data stewards help organizations make informed decisions based on high-quality data. Other terms like data analysis, data regulation, and data management do not precisely capture the specific role of overseeing governance practices focused on data quality and standards. Data analysis refers to examining data for insights, while data regulation usually pertains to compliance with laws and rules governing data usage. Data management is a broader term that encompasses various practices related to the administration and oversight of data but does not specifically highlight the focused governance aspect that data stewardship emphasizes.

The term "Data Stewardship" accurately defines the responsibility of overseeing governance practices related to data quality and standards. Data stewards play a crucial role in ensuring that data within an organization is reliable, accurate, and appropriately managed according to established guidelines. They are tasked with defining data quality metrics, implementing data governance policies, and providing guidance on data usage to maintain the integrity and value of data assets.

Data stewardship involves collaboration across various departments to ensure that data standards are adhered to, and it often includes monitoring data quality initiatives, resolving data-related issues, and advocating for best practices in data handling. By establishing and maintaining these governance practices, data stewards help organizations make informed decisions based on high-quality data.

Other terms like data analysis, data regulation, and data management do not precisely capture the specific role of overseeing governance practices focused on data quality and standards. Data analysis refers to examining data for insights, while data regulation usually pertains to compliance with laws and rules governing data usage. Data management is a broader term that encompasses various practices related to the administration and oversight of data but does not specifically highlight the focused governance aspect that data stewardship emphasizes.