Level 1
Machine level & sensor technology: This is where it all begins – data is collected at this level, e.g., the dosage quantity of machines. This raw data forms the basis for all further processes.
Level 2
Data storage: At this level, the collected data is stored in a data lake. It forms the foundation for further data processing and analysis.
Level 3
Data structuring and preparation: The data is structured and organized in a data warehouse, making it available for analysis in OLAP cubes. This structuring can also be done directly in mERP.
Level 4
Machine learning level: Algorithms and automation, such as volume forecasts, are used here to enable valuable predictions and optimizations.
Level 5
Application level users: This is where MERP comes into play – the user-centric level where all relevant business processes and data are made accessible.
Level 6
Visualization and information: At the highest level, the information and insights gained are visualized, e.g., through Power BI or email notifications, to support decision-making.
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