Data harmonization across and within the transport sector is very important and advantageous for exchange of data to support the business data exchanges of transport contracts, cargo operations, consignment and shipment tracking covering single or multimodal business processes. This closes the common gap between business and technical experts resulting in provides increased interoperability between the various involved parties supporting the transportation aspects of international supply chains.
UN/CEFACT Multi Modal Transport Reference Data Model
The UNCEFACT Multi Modal Transport Reference Data Model (MMT RDM) is a set of harmonised semantic structures covering all the data used in the transport and logistics sector for electronic data exchange and interoperability. The MMT RDM can be used as a key building block to support your implementation and data harmonization across any transport related documents.
During this webinar you will get to know the different component objects of MMT and receive comprehensive information on the concept, methodology and benefits of data harmonisation though the use of MMT RDM.
Topics of our webinar on “Harmonising data in the transport sector – the why and the how”
In this webinar you will learn how to …
- Reuse MMT for data harmonization and designing data exchanges with GEFEG.FX
- Contextualize MMT according to your business needs
- Use MMT publication artefacts for implementation including XSD exports
Any questions about the webinar and/or input on other webinar topics? We are looking forward to your email.
Who should participate?
Actors in the transport and logistics domain who need to plan and implement data exchanges based on UNCEFACT MMT RDM and benefitting from the unique customisation functionalities provided by the GEFEG.FX tool for specification and documentation of their MMT-based data exchange subsets.
What should you already know?
General knowledge about data modelling. UN/CEFACT standards and publications.
How much time will the webinar take?
Approx. 50 to 60 minutes
