Glossar

Data integrity refers to the completeness, accuracy, and consistency of data throughout its entire lifecycle. It ensures that information is stored, processed, and transmitted without alteration, in a traceable manner, and reliably.

In logistics, a high level of data integrity is essential for error-free material flows and automated processes. It is supported by standardized data capture, secure transmission channels, and plausibility checks. Accurate master data forms the foundation for transport planning, warehouse management, freight billing, and end-to-end traceability.

Practical example:

At goods receipt, the automatically captured master data for a package is verified and transmitted unchanged to all connected systems, ensuring that downstream processes operate on a uniform data basis.

See also: Data exchange, DWS, Freight data, Master data capture, Quality assurance, Supply Chain Management (SCM), Traceability, Track & Trace