A critical success factor
The data side of digital transformation
The following use cases are just some of the many ways Industry 4.0 can improve your operational efficiency. But to get the most value from these initiatives, you need to be sure you have the necessary data foundation and capabilities in place.
Share new, optimized product/process designs to workstations
Technology needed:
Digital infrastructure
Digital twins
Machine learning
Data capabilities needed: Ability to govern, enrich and syndicate product data
Receive alerts on assets that need maintenance
IIoT
Predictive maintenance
Data capabilities needed: Ability to govern sensor data sets on assets and integrate with event management and analytics for accurate decision making
Track real-time emission data from assets or locations
Automation
Data capabilities needed: Ability to centralize asset and location data to syndicate emission data reports using analytics and accurate event reporting
Improve inventory management by receiving real-time updates from suppliers
AI/Machine learning
Intelligent supply chain
Data capabilities needed: Ability to automate business rules that trigger real-time data updates based on governed ERP and supplier integrations
Receive safety alerts for specific assets or locations
Data capabilities needed: Ability to centralize asset and location data to govern event management and analytics integrations for accurate decision making