What is the main goal of defining stewardship and maintenance in reference data activities?

What is the main goal of defining stewardship and maintenance in reference data activities?

• A. To minimize storage costs
• B. To ensure data quality
• C. To increase development speed
• D. To enhance data visualization

Answer: (B)

The main goal of defining stewardship and maintenance in reference data activities is to ensure data quality. This involves establishing processes and responsibilities for managing and overseeing data to maintain its accuracy, consistency, and reliability over time. Stewardship refers to the accountability for the data, ensuring that it is properly managed and maintained according to established standards and practices. Maintaining reference data is crucial because it serves as a foundation for various operations and analyses across an organization. High-quality reference data ensures that decision-making is based on accurate and up-to-date information, which in turn supports better business outcomes and reduces the risk of errors that could arise from poor data quality. While other options may touch on aspects related to data management, such as development speed or storage costs, they do not directly address the central theme of stewardship and maintenance, which is fundamentally about ensuring that data remains trustworthy and effective for its intended purposes.

The main goal of defining stewardship and maintenance in reference data activities is to ensure data quality. This involves establishing processes and responsibilities for managing and overseeing data to maintain its accuracy, consistency, and reliability over time. Stewardship refers to the accountability for the data, ensuring that it is properly managed and maintained according to established standards and practices.

Maintaining reference data is crucial because it serves as a foundation for various operations and analyses across an organization. High-quality reference data ensures that decision-making is based on accurate and up-to-date information, which in turn supports better business outcomes and reduces the risk of errors that could arise from poor data quality.

While other options may touch on aspects related to data management, such as development speed or storage costs, they do not directly address the central theme of stewardship and maintenance, which is fundamentally about ensuring that data remains trustworthy and effective for its intended purposes.