Benefit from data analytics for condition monitoring and predictive maintenance

  • 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.

Download White Paper

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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