MIC Data encompasses different sub-modules linked to data management.
Allows real-time visualization of what is happening in the cell (descriptive) and exploitation of the data to facilitate understanding of what is happening and why it is happening (analytical) in order to first diagnose inefficiencies and facilitate continuous improvement and, in the future, to provide the cell with autonomy based on the capabilities provided by AI.

• Active data quality management and data standardization.
• Can be integrated with different communication protocols.
• Mixed architecture: on premise, edge & cloud.
• Ease of data access and possible data export.
• Accessible for external data mining modules (e.g. simulation tools).
• Flexible and scalable.
• Secure: incorporates security protocols according to market standards.