Certified Supply Chain Professional (CSCP) Practice Exam

What can help to ensure data quality does not degrade over time?

1. Regular data audits without access controls

2. Role-based access for modifying information

3. Ignoring maintenance processes

4. Using outdated data management systems

The correct answer is: Role-based access for modifying information

Maintaining data quality over time is crucial for effective decision-making and operational efficiency within supply chains. Implementing role-based access for modifying information is essential as it establishes a control mechanism that helps protect the integrity of the data. This method ensures that only authorized personnel can make changes to critical data, thereby reducing the likelihood of errors or unauthorized alterations that could compromise data quality. By assigning specific roles and permissions, organizations can preserve the accuracy and reliability of their data. This approach also facilitates accountability, as it is easier to track who made particular changes and when they occurred. As a result, implementing role-based access contributes positively to long-term data management practices by fostering a more secure and organized data environment. In contrast, the other options would not effectively support data quality. Regular data audits without access controls, for example, may identify data issues but fail to prevent unauthorized changes that could lead to further degradation. Ignoring maintenance processes would allow for the accumulation of errors and outdated information, while using outdated data management systems can result in inefficiencies and increased risk of data inaccuracies. Thus, using role-based access emerges as the most reliable strategy for ensuring sustained data quality.