data integrity

Frequency: 5.53.0 per million words

the maintenance and assurance of the accuracy and consistency of data

Categories:

Examples (10)

  • concerns that data integrity has been compromised.
  • Maintaining data integrity is crucial for accurate financial reporting.
  • The new system employs robust measures to ensure data integrity.
  • Loss of data integrity can lead to serious operational issues.
  • Database administrators are responsible for safeguarding data integrity.
  • Regular audits help to verify the data integrity across all platforms.
  • Strong security protocols are essential for preserving data integrity.
  • The company invested heavily in tools that enhance data integrity.
  • Any unauthorized modification could jeopardize data integrity.
  • Users must be educated on best practices to uphold data integrity.