Which term describes the accuracy and consistency of data throughout its lifecycle?

The term that accurately describes the accuracy and consistency of data throughout its lifecycle is data integrity. This concept encompasses the aspect of maintaining and assuring the accuracy and consistency of data across various systems, processes, and applications.

Data integrity is vital because it ensures that data remains reliable and trustworthy from the moment it is created, through any modifications it undergoes, and up to its final usage. Effective data integrity measures involve using validation checks, data cleansing methodologies, and establishing clear governance policies that manage how data is entered, processed, and stored.

In contrast, data latency refers to the delay before data is available for use, while data volatility describes the tendency of data to change rapidly over time. Data availability focuses on whether the data is accessible when needed. None of these terms capture the essence of accuracy and consistency in the same way that data integrity does.