This component has access to raw data and ensures that data can be integrated using unified and standardised formats or the formats needed by the data recipient. It also provides basic functionalities for semantic homogenisation in a context of heterogeneous data meaning that the mapping is facilitated with reference to semantic through a i4FS ontology.

The developed application enables a business analyst driven approach for the automatic linking of organisations’ data and meta data to the reference data model.

These data Maps are available in the i4FS Data Storage and deployed and encapsulated as services to be finally exposed as software mini-packages, ie Docker containers. These mini-packages, containing the transformation routines, are uploaded, and published in the Marketplace to advertise and commercialise them.

One of their uses is, for example, as part of the execution of a process model in which they are rendered as services that can be called.

Benefits 

• Design, execute, and manage data transformations (maps**)**: Enabling a reduction in operational costs and increased understanding of the data

• Extract hidden value from data with semantic functionalities populated from known ontologies and updated using previous history

• Streamlining the end-to-end supply chain enabling all different sources of data of the chain to be integrated into a single source of truth

• Publish maps as services to be used by partners in their business processes

• Function as a wisdom provider by sharing feedback about the semantic suggestions in the form of crowdsourcing