What is one of the primary goals of data quality management?

What is one of the primary goals of data quality management?

• A. To limit data sharing
• B. To develop informal processes
• C. To improve the quality of data
• D. To avoid data governance

Answer: (C)

One of the primary goals of data quality management is to improve the quality of data. This involves ensuring that data is accurate, complete, consistent, and reliable, which is essential for making informed business decisions. High-quality data facilitates better analysis, enhances operational efficiency, and ultimately leads to more effective strategies and outcomes. By prioritizing data quality, organizations can reduce errors, avoid costly consequences of poor data, and ensure that stakeholders trust the information they are using. In contrast, limiting data sharing, developing informal processes, and avoiding data governance do not align with the objectives of data quality management. These approaches can hinder the ability to maintain or improve data quality, as effective data management strategies rely on transparency, structured processes, and established governance to oversee data quality initiatives.

One of the primary goals of data quality management is to improve the quality of data. This involves ensuring that data is accurate, complete, consistent, and reliable, which is essential for making informed business decisions. High-quality data facilitates better analysis, enhances operational efficiency, and ultimately leads to more effective strategies and outcomes. By prioritizing data quality, organizations can reduce errors, avoid costly consequences of poor data, and ensure that stakeholders trust the information they are using.

In contrast, limiting data sharing, developing informal processes, and avoiding data governance do not align with the objectives of data quality management. These approaches can hinder the ability to maintain or improve data quality, as effective data management strategies rely on transparency, structured processes, and established governance to oversee data quality initiatives.