What is meant by 'data integrity'?

Data integrity refers to the accuracy and consistency of data throughout its lifecycle, which encompasses data collection, storage, processing, and usage. Maintaining data integrity ensures that information remains reliable and trustworthy, preserving it against corruption or unauthorized alterations. This concept is critical in fields like banking, where decisions are often based on data analysis; any discrepancies can lead to misleading outcomes and affect financial operations.

In practical terms, data integrity is achieved through various means, such as validation checks, regular audits, and using secure systems to prevent unauthorized access. It ensures that data remains accurate over time, aligning with the business's requirements and maintaining compliance with regulations.