Stammdaten und Bewegungsdaten
Also: Bewegungsdaten, Stammdaten, Transaktionsdaten, Bewegungsdaten Logistik, Stammdaten Lager, Master Data, Master Data und Transaktionsdaten
AI-generated
Master data describes permanently valid reference information such as items, storage locations, or business partners, while transactional data records transaction processes such as goods receipts, picks, or transfers.
Key facts
- Master data is stable reference data such as items, storage locations, or business partners; transactional data is transactional log data such as goods receipts, picks, or shipment status changes.
- Incorrect or incomplete master data leads directly to process errors in WMS, ERP, and TMS systems, because transactional data always references master data records.
- Clear data ownership and a defined system of record are essential to avoid inconsistencies across multiple systems.
- For batch traceability, audit logs, and track-and-trace, complete transactional data is both a legal and operational necessity.
What are master data and transactional data?
In logistics systems, a distinction is made between two fundamental types of data: master data and transactional data. Master data consists of relatively stable reference information that changes infrequently and serves as a reference for many processes. Typical examples include item master records with dimensions and weights, storage location attributes, supplier addresses, packaging materials, or hazardous material classifications. Transactional data, on the other hand, is generated during ongoing operations: every goods receipt, every transfer, every pick, and every shipping document creates a transaction record with a timestamp, quantity, and reference to the relevant master data record.
Without clean master data, transactional data cannot be interpreted correctly. If, for example, the weight of an item is missing from the master data record, a warehouse management system cannot make a reliable storage location assignment. Conversely, master data alone provides no information about current stock levels or the progress of an order — transactional data is needed for that.
How does the interaction work in practice?
In modern warehouse management systems (WMS) and ERP systems, both data types are closely linked. When a picking order is created, the system draws on master data to determine the storage location, withdrawal unit, and handling instructions. At the same time, each step in the picking process writes a transactional data record that updates stock levels, order status, and process history.
For track-and-trace applications, batch traceability, or legally required audit logs, complete and consistent transactional data is indispensable. Reporting and business intelligence access both data types: master data provides the structure (product hierarchy, supplier groups), while transactional data provides the facts (throughput, error rates, delivery times).
What matters when it comes to data strategy?
A central issue in practice is the question of which system is the leading source for which data. Master data is often maintained in the ERP and distributed to downstream systems such as WMS or TMS. If the same information is maintained in multiple systems, inconsistencies quickly arise. Clear data ownership and governance rules are therefore not an optional addition, but a prerequisite for stable processes.
- Master data quality: The completeness and accuracy of item master data (e.g. dimensions, weight, hazardous material classification) directly affects the degree of automation achievable in the warehouse.
- Transactional data integrity: Every process step should be recorded without gaps to support audits, complaints, and analyses.
- Interfaces and APIs: In best-of-breed architectures, master data and transactional data must be synchronized via standardized interfaces.
- Historization: Transactional data grows continuously; a well-thought-out archiving strategy prevents performance issues in production systems.
Whether master data is managed centrally in a master data management (MDM) system or maintained decentrally in the specialist systems depends on the vendor and the company, and should be carefully evaluated as part of a system selection process.
Related terms
- API
An API (Application Programming Interface) is a defined interface through which two software systems can exchange data in an automated and standardized way. In intralogistics, it connects systems such as WMS, ERP, or TMS with one another and with external services.
- Artikelklassifizierung
Item classification refers to the systematic categorization of items based on defined criteria such as value, turnover frequency, storage requirements, or hazardous material characteristics. It forms the foundation for differentiated warehousing, procurement, and picking processes.
- Artikelnummer
The item number is an internally assigned, unique identifier that unambiguously identifies an article within the inventory management and warehouse system. It forms the basis for postings, purchase orders, and communication between purchasing, warehousing, and production.
- Artikelstamm
The item master is the central data repository that permanently stores all logistically and commercially relevant features of an item. It forms the basis for warehousing, inventory planning, picking, and billing.
- Artikelstammdaten
Item master data refers to the permanently valid base data of an item – such as dimensions, weight, packaging units, hazardous goods classification, and best-before date relevance. It forms the foundation for all logistical, procurement-related, and system-driven processes along the supply chain.
- BDE-System
A BDE system (operational data collection system) captures machine and manual process data in real time directly at the source – such as at machines, conveyor systems, or workstations.
- Bestandsführung
Inventory management refers to the system-supported administration and continuous updating of all warehouse and material stocks within a company. It forms the basis for planning, procurement and accounting – and ensures that the book inventory and physical inventory are in agreement at all times.
- Bestandsmanagement
Inventory management refers to the systematic planning, control, and monitoring of stock levels across the entire supply chain. The goal is to ensure delivery capability while keeping capital commitment and warehousing costs within economically viable limits.
- Bewegungsdaten
Movement data captures all transactions and physical goods movements in the logistics process – from goods receipt and stock transfers to dispatch. It contains timestamps, quantities, locations and the units involved, and forms the basis for transparency, control and analysis in warehouse and…
- Chargenrückverfolgung
Batch traceability refers to the complete and uninterrupted trackability of products and materials along the supply chain based on their batch assignment. It enables companies to quickly identify and selectively block all affected quantities in the event of a quality issue or recall.
- Datenanalyse
Data analysis refers to the systematic evaluation of raw data from logistics and IT systems in order to measure performance indicators, identify the causes of deviations, and make well-informed decisions.
- Disposition
Disposition refers to the operational planning and control of resources, quantities, and orders in logistics – for example in transport or materials disposition. It encompasses capacity assignment, scheduling, prioritization, and response to disruptions.