Monitoring & Analytics
Benefits
- Use data science and analytics as the basis for data-driven processes
- Automate condition monitoring
- Offer additional services with predictive maintenance
- Analyze whole fleets and environments
Turn Big Data into Smart Data
Devices and machines deliver large amounts of data. Automated preprocessing steps ensure that this information is stored in the correct format - for example, by unit conversion. For subsequent analysis such as cleansing and consolidation processes, Elements for IoT integrates open source tools or your expert tools to support your analysis and publishing processes.
Turn Big Data into Smart Data
Devices and machines deliver large amounts of data. Automated preprocessing steps ensure that this information is stored in the correct format - for example, by unit conversion. For subsequent analysis such as cleansing and consolidation processes, Elements for IoT integrates open source tools or your expert tools to support your analysis and publishing processes.
Devices and machines deliver large amounts of data. Automated preprocessing steps ensure that this information is stored in the correct format - for example, by unit conversion. For subsequent analysis such as cleansing and consolidation processes, Elements for IoT integrates open source tools or your expert tools to support your analysis and publishing processes.
Monitor your machines and assets
The cleansing and pre-compacting of the field data is followed by a search for relevant patterns – for example in the context of predictive maintenance – and analyses based on known quantities and events (condition monitoring). If an incident occurs, the responsible services are automatically notified. Use these chains of events with Elements for IoT and share these processes with your customer and user community.
Monitor your machines and assets
The cleansing and pre-compacting of the field data is followed by a search for relevant patterns – for example in the context of predictive maintenance – and analyses based on known quantities and events (condition monitoring). If an incident occurs, the responsible services are automatically notified. Use these chains of events with Elements for IoT and share these processes with your customer and user community.
The cleansing and pre-compacting of the field data is followed by a search for relevant patterns – for example in the context of predictive maintenance – and analyses based on known quantities and events (condition monitoring). If an incident occurs, the responsible services are automatically notified. Use these chains of events with Elements for IoT and share these processes with your customer and user community.
Gain an overview with dashboards
Customers, fleets, devices, time intervals, data streams, events, measures and much more: Companies that gain the best overview are the companies that use principles such as management by exception and drill-down with customized dashboards. For example, for geo-monitoring and geo-fencing in the context of fleet management.
Gain an overview with dashboards
Customers, fleets, devices, time intervals, data streams, events, measures and much more: Companies that gain the best overview are the companies that use principles such as management by exception and drill-down with customized dashboards. For example, for geo-monitoring and geo-fencing in the context of fleet management.
Customers, fleets, devices, time intervals, data streams, events, measures and much more: Companies that gain the best overview are the companies that use principles such as management by exception and drill-down with customized dashboards. For example, for geo-monitoring and geo-fencing in the context of fleet management.
Data is the new oil!
Modern analysis methods are a decisive success factor for service-oriented business models around IoT and industry 4.0. A new white paper explains the state of the art and shows what the latest methods can achieve in practice. Our white paper Data Science & Analytics provides an overview of the development and perspectives of a key science.
Related Elements
Seamlessly integrate design and operations of smart products
Analyze and evaluate field data for targeted product improvements
Involve customer communities in the ongoing optimization of products
Use best practices such as ticket systems and quality issues for integration into the development process
Use the virtual representation of devices in the field for product and process improvements
Establish the digital twin as a database for all IoT business processes
Create complete profiles across the entire lifecycle of your products and map changes in the field
Use the digital twin as a basis for creating added value for your customers
Simple integration of devices – creating added value with operating data
Device fleets easy to record, connect and remote control
Optimize maintenance processes and extend service life
Added value through machine extension and generation
Monitor the network status of IoT gateways
Perform software updates of fleets in one step
Increase customer satisfaction through digital services around the operation of your products
Digitalize service processes from offer to invoice
Generate more service business with best practice templates
Manage services for a wide range of customers easily
Improve customer loyalty with pay-per-use business models
Further Information
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