How can different types of data—from real-time sensor data to historical ERP data—be combined most effectively to enable fast and informed decisions?
Which technologies and standards (e.g., IoT, cloud computing, OPC UA) support seamless integration and enable a holistic view across all systems?
How can data quality and consistency be ensured across different systems to achieve valid, meaningful results in production and the supply chain?
What role does the integration of real-time production data play in supply chain agility and crisis resilience, and how can this data help to make short-term adjustments?
To what extent do historical and real-time data together provide a basis for predictive analytics and the use of machine learning for continuous process optimization?