Data Integrity And Human Error
Data integrity refers to the accuracy, completeness, and consistency of data over its entire lifecycle. Data integrity is crucial for any organization as it ensures that the data they rely on to make decisions is trustworthy and reliable. Human error can have a significant impact on data integrity. For example, data entry errors, such as mistyping a number or letter, can cause data to be inaccurate. Additionally, mistakes made during data processing or analysis, such as applying the wrong formula or method, can lead to incorrect results. To ensure data integrity, it is important to implement controls that minimize the risk of human error.
Webinar
Nov 20 2025, Thursday
01:00 PM EDT
90
Minutes
Intermediate Level
Code: GRC0000136