What does 'Value Domain Membership' ensure in data quality rules?

What does 'Value Domain Membership' ensure in data quality rules?

• A. Data elements remain encrypted
• B. Data element values meet a defined set of criteria
• C. Data is stored in multiple formats
• D. Data elements are archived periodically

Answer: (B)

'Value Domain Membership' plays a crucial role in the context of ensuring data quality by defining the permissible set of values for a data element. By establishing a clear set of criteria that the values of a data element must meet, it enables organizations to maintain data integrity and consistency. This is particularly important for ensuring that the data conforms to expected formats, ranges, or types that are deemed acceptable for the specific use case or business process. For instance, if a data element represents a customer age, the value domain might specify that only whole numbers between 0 and 120 are valid. This ensures accuracy in reports and analyses where such data is used. By adhering to these predefined criteria, organizations can effectively prevent data entry errors and reduce inconsistencies, which in turn enhances overall data quality. The other options do not directly contribute to the assurance of data quality rules in the same way. While encryption, data format variations, and periodic archiving are important aspects of data management, they do not specifically address the criteria governing the actual values that data elements can take. This distinction is key to understanding the primary role of value domain membership in the realm of data quality.

'Value Domain Membership' plays a crucial role in the context of ensuring data quality by defining the permissible set of values for a data element. By establishing a clear set of criteria that the values of a data element must meet, it enables organizations to maintain data integrity and consistency. This is particularly important for ensuring that the data conforms to expected formats, ranges, or types that are deemed acceptable for the specific use case or business process.

For instance, if a data element represents a customer age, the value domain might specify that only whole numbers between 0 and 120 are valid. This ensures accuracy in reports and analyses where such data is used. By adhering to these predefined criteria, organizations can effectively prevent data entry errors and reduce inconsistencies, which in turn enhances overall data quality.

The other options do not directly contribute to the assurance of data quality rules in the same way. While encryption, data format variations, and periodic archiving are important aspects of data management, they do not specifically address the criteria governing the actual values that data elements can take. This distinction is key to understanding the primary role of value domain membership in the realm of data quality.