Data integrity refers to the completeness, consistency, and accuracy of data.
These types of data should be attributable, legible, contemporaneously recorded, original or a true copy, and accurate (ALCOA) and are important for business safety and disaster recovery
- Attributable: Data should be traceable back to its source, with clear information on who created, modified, or deleted it.
- Legible: Data must be readable and understandable, both now and in the future.
- Contemporaneously recorded: Data should be recorded in a timely manner, as close as possible to the event it represents.
- Original or a true copy: Data should be kept in its original form or a verifiable copy.
- Accurate: Data must be correct, without errors, and consistent with other data.
Data integrity is important for several reasons:
- Maintaining the accuracy and reliability of business processes and decision-making.
- Ensuring legal and regulatory compliance.
- Facilitating effective disaster recovery and business continuity planning.
- Building trust with customers and stakeholders.
- Enhancing organizational reputation and credibility.
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