Integrity
The degree of absence of data value loss or corruption.
- •Preservation of data accuracy and completeness during storage, processing, and transmission.
- •Reduced risk of data corruption, unauthorized modification, or accidental loss.
- •Increased trust in the reliability and wholeness of data assets.
- •More stable and dependable system operations and data pipelines.
- •Data corruption leading to inaccurate information, process failures, or system errors.
- •Loss of critical data due to system malfunctions, transmission errors, or inadequate controls.
- •Reduced confidence in data if its integrity is questionable.
- •Increased costs for data recovery, correction, and validation.
%
Logistics: Checksums and validation rules are used during data transmission to ensure container details are not corrupted when moving between systems.
Database: Robust backup and recovery procedures are in place, and regular tests confirm that data can be restored completely and without corruption.
File Transfer: Secure file transfer protocols (like SFTP) with built-in error checking are used to ensure complete and uncorrupted file delivery.
Logistics: Data transmission errors cause container numbers to be corrupted (e.g., 'MSCU12?4567' instead of 'MSCU1234567') during EDI exchange.
Database: A database restore process fails, and a portion of transaction data from the last backup is permanently lost.
File Transfer: A large CSV file is truncated during FTP transfer, resulting in incomplete records in the destination system.