What does "data integrity" refer to?

Data integrity refers to the accuracy and consistency of data over its lifecycle. Ensuring data integrity involves maintaining the correctness and reliability of data, which is crucial for making informed decisions based on that data. When data is accurate and consistent, it can be trusted for reporting, analysis, and decision-making processes.

In practical terms, data integrity can be affected by various factors, such as data entry errors, data corruption, or unauthorized access. Protecting data integrity typically involves implementing security measures, validation processes, and regular audits to ensure that data remains correct and reliable.

The other options provided do not accurately define data integrity. Visualizing key metrics pertains to how data is presented rather than its correctness. Comparing costs and benefits relates to economic analysis and decision-making frameworks, while engaging stakeholders deals with communication and collaboration processes rather than data itself.