Home
Dashboard
Projects
Projects
Results, demos etc.
Results, demos etc.
Wiki
Search
Significant innovations, exploitable results and lessons learned, training aspects
Manufacturing performance characteristics
Technologies and enablers
ICT performance characteristics
Standards and standardisation
Business model aspects
Pathways
People & organisations
Organisations
Programmes
Programmes
Calls
Call topics
https://industry4e.eu/
Login
Wiki
Pathways
Data Space Pathway
DS Pathway - Maturity Levels
DS Pathway - Maturity Levels
Key content
No Data Control
No Data Management Culture in the company
No specific Data Protection measures in place regarding storage, computation and transfer of data
Data not processed or processed by default procedures out of control for the company
Data analytics not performed or performed by third parties out of control of the company
Data visualisation tools not implemented or implemented by third parties out of control of the company
Data Sharing not implemented or implemented without any control
Data Silos
Data stored in Enterprise Application and managed from there
Each single Enterprise Application (ERP SCM PLM) is responsible for Data Protection
Data processed inside Enterprise Applications (ERP SCM PLM) according to architectures and tools predefined by them
Data Analytics procedures implemented (and replicated) from inside Enterprise Applications only
Data visualisation tools embedded in Enterprise Applications on top of predefined sets of Data
Data Sharing allowed from inside Enterprise Applications to a predefined value ecosystem
Data Bridges
Secure Data Bridges between silos implemented on a case-by-case basis
Data Processing architectures (embedded, edge, cloud) implemented for ad-hoc data bridges in Enterprise Applications
Data Analytics procedures implemented across silos in an ad-hoc fashion
Data visualisation applications are developed ad-hoc cross-silos to show data coming from different sources
Data Sharing from different sources implemented for specific suppliers and customers
Cross application Data Management Bridges
Data Interoperability
Common set of data management application applied to data Source and Enterprise Application
Common Data Protection mechanisms and tools are shared at company level and used in every application
Common Data Processing architecture adopted for all Enterprise Applications, both Data at Rest and Data in Motion
Common repository of Data Analytics tools is shared in the company, at disposal for any application
Common agreed repository of Data Visualisation tools is shared in the company, at disposal for any application
A common and agreed architecture for secure and sovereign Data Sharing implemented
Data Valorisation
Data Management Application used to assign a value to data
Data Protection mechanisms associated to Data Spaces increase the value of Data
Data Processing tools associated as a service to Data Sets, increasing value in the Data Space and implementing Data Economy services
Data Analytics tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
Data Visualisation tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
Data Sharing applications associated as a service to available Data Sets, increasing value in the Data Space and implementing Data Economy services