Glossar

Valid data refers to information that is accurate, complete, traceable, and suitable for its intended purpose. It provides a reliable foundation for automated processes, analyses, and well-informed decisions.

In logistics, valid data is crucial for the error-free management of goods and information flows. This includes, for example, accurate dimensions, weights, identification data, and master data for packages and loading units. Automated measurement systems, DWS systems, and digital interfaces help ensure data quality and reduce errors caused by manual entry. High data validity improves transparency, process reliability, and efficiency throughout the entire supply chain.

Practical example:

A DWS system automatically records the dimensions and weight of a pallet and provides valid freight data that can be used directly for transport planning and billing.

See also: Data Integrity, Data Capture, DWS, Freight Data, Master Data Management (MDM), Measurement Accuracy, Master Data Capture, Supply Chain Visibility