How does Workday Prism ensure data integrity?

How does Workday Prism ensure data integrity?

• A. Through frequent backups and data migrations.
• B. By implementing validation checks and governance practices.
• C. By limiting user access to sensitive data.
• D. Through the use of artificial intelligence.

Answer: (B)

Workday Prism ensures data integrity primarily by implementing validation checks and governance practices. This approach involves enforcing rules and standards for data entry and management, which helps in maintaining the accuracy and reliability of the data over time. Validation checks can include automated processes that flag anomalies or errors in the data, ensuring that only consistent and valid information is stored and reported. Additionally, governance practices help define roles and responsibilities for data management, ensuring that there is accountability and oversight in how data is handled throughout its lifecycle. This comprehensive strategy not only prevents data from becoming corrupted or inaccurate but also instills trust among users who rely on the data for critical decision-making processes. While options such as frequent backups, limiting user access, and artificial intelligence can contribute to data management, they do not directly address the core aspects of ensuring data integrity as effectively as validation checks and governance do.

Workday Prism ensures data integrity primarily by implementing validation checks and governance practices. This approach involves enforcing rules and standards for data entry and management, which helps in maintaining the accuracy and reliability of the data over time. Validation checks can include automated processes that flag anomalies or errors in the data, ensuring that only consistent and valid information is stored and reported.

Additionally, governance practices help define roles and responsibilities for data management, ensuring that there is accountability and oversight in how data is handled throughout its lifecycle. This comprehensive strategy not only prevents data from becoming corrupted or inaccurate but also instills trust among users who rely on the data for critical decision-making processes.

While options such as frequent backups, limiting user access, and artificial intelligence can contribute to data management, they do not directly address the core aspects of ensuring data integrity as effectively as validation checks and governance do.