Which of the following is a primary focus within data governance?

Which of the following is a primary focus within data governance?

• A. Trendy technologies
• B. Hardware optimization
• C. Data quality assurance
• D. Software development

Answer: (C)

Data governance primarily focuses on establishing policies, procedures, and standards aimed at managing and ensuring high-quality data throughout its lifecycle. One of the essential aspects of data governance is data quality assurance, which involves implementing practices to maintain and improve the accuracy, consistency, completeness, and reliability of data. Ensuring data integrity is crucial for organizations to make informed decisions, comply with regulatory requirements, and enhance operational efficiency. While trendy technologies, hardware optimization, and software development are relevant to data management and can support the goals of data governance, they do not represent the core mentality of data governance itself. Data governance is fundamentally about the management and stewardship of data as a valuable asset, making data quality assurance a central focus to guarantee that the data governance framework effectively preserves and enhances the organization's data assets.

Data governance primarily focuses on establishing policies, procedures, and standards aimed at managing and ensuring high-quality data throughout its lifecycle. One of the essential aspects of data governance is data quality assurance, which involves implementing practices to maintain and improve the accuracy, consistency, completeness, and reliability of data. Ensuring data integrity is crucial for organizations to make informed decisions, comply with regulatory requirements, and enhance operational efficiency.

While trendy technologies, hardware optimization, and software development are relevant to data management and can support the goals of data governance, they do not represent the core mentality of data governance itself. Data governance is fundamentally about the management and stewardship of data as a valuable asset, making data quality assurance a central focus to guarantee that the data governance framework effectively preserves and enhances the organization's data assets.