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SCOTT
Pathways
Data Space Pathway
Data Space Pathway - Data oriented challenge dimensions
SCOTT
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Data Space Pathway - Data oriented challenge dimensions
DS Pathway - Data management levels
No Data Management Culture in the company
Data stored in Enterprise Application and managed from there
Cross application Data Management Bridges
Common set of data management application applied to data Source and Enterprise Application
Data Management Application used to assign a value to data
DS Pathway - Data protection levels
No specific Data Protection measures in place regarding storage, computation and transfer of data
Each single Enterprise Application (ERP SCM PLM) is responsible for Data Protection
Secure Data Bridges between silos implemented on a case-by-case basis
Common Data Protection mechanisms and tools are shared at company level and used in every application
Data Protection mechanisms associated to Data Spaces increase the value of Data
DS Pathway - Data Processing Architecture Implementation Levels
Data not processed or processed by default procedures out of control for the company
Data processed inside Enterprise Applications (ERP SCM PLM) according to architectures and tools predefined by them
Data Processing architectures (embedded, edge, cloud) implemented for ad-hoc data bridges in Enterprise Applications
Common Data Processing architecture adopted for all Enterprise Applications, both Data at Rest and Data in Motion
Data Processing tools associated as a service to Data Sets, increasing value in the Data Space and implementing Data Economy services
DS Pathway - Data Visualisation and User Interaction
Data visualisation tools not implemented or implemented by third parties out of control of the company
Data visualisation tools embedded in Enterprise Applications on top of predefined sets of Data
Data visualisation applications are developed ad-hoc cross-silos to show data coming from different sources
Common agreed repository of Data Visualisation tools is shared in the company, at disposal for any application
Data Visualisation tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services
DS Pathway - Ecosystems for Data Sharing
Data Sharing not implemented or implemented without any control
Data Sharing from different sources implemented for specific suppliers and customers
Data Sharing allowed from inside Enterprise Applications to a predefined value ecosystem
A common and agreed architecture for secure and sovereign Data Sharing implemented
Data Sharing applications associated as a service to available Data Sets, increasing value in the Data Space and implementing Data Economy services
DS Pathway - Data Analytics Implementation Levels
Data analytics not performed or performed by third parties out of control of the company
Data Analytics procedures implemented (and replicated) from inside Enterprise Applications only
Data Analytics procedures implemented across silos in an ad-hoc fashion
Common repository of Data Analytics tools is shared in the company, at disposal for any application
Data Analytics tools associated as a service to available Data Sets, increasing their value in the Data Space and implementing Data Economy services