Which term refers to mistakes made by users that can affect data integrity?

Which term refers to mistakes made by users that can affect data integrity?

• A. Data Backups
• B. Environmental Factors
• C. Access Control Framework
• D. Human Error

Answer: (D)

Mistakes people make when interacting with data systems can undermine data integrity. These slip-ups are described by the term human error. It covers a wide range of issues caused by users, such as entering incorrect values, selecting the wrong field, duplicating or deleting records, or uploading the wrong version of a file. When these actions occur, they can introduce inaccuracies, inconsistencies, or data loss, eroding trust in the dataset and potentially leading to wrong business decisions. Other terms describe different aspects of data management or system risk but not the errors caused by people. Data backups are copies made to recover data after loss; environmental factors refer to physical risks to hardware; an access control framework governs who can perform specific actions. While these are important, they don’t specifically capture the mistakes left by human interaction that directly affect data quality. To mitigate human error, teams implement validation rules, mandatory fields, guided workflows, double-entry checks, automation, and robust audit trails to trace changes.

Mistakes people make when interacting with data systems can undermine data integrity. These slip-ups are described by the term human error. It covers a wide range of issues caused by users, such as entering incorrect values, selecting the wrong field, duplicating or deleting records, or uploading the wrong version of a file. When these actions occur, they can introduce inaccuracies, inconsistencies, or data loss, eroding trust in the dataset and potentially leading to wrong business decisions.

Other terms describe different aspects of data management or system risk but not the errors caused by people. Data backups are copies made to recover data after loss; environmental factors refer to physical risks to hardware; an access control framework governs who can perform specific actions. While these are important, they don’t specifically capture the mistakes left by human interaction that directly affect data quality. To mitigate human error, teams implement validation rules, mandatory fields, guided workflows, double-entry checks, automation, and robust audit trails to trace changes.