Commissioning and ramp-up
Technical transparency from the early stages of a project.

Industry
Connect your machines to the IoT Data Hub and use the data directly for commissioning, diagnostics, and digital customer services. Dashboards are built-in; AI pipelines and AI notebooks accelerate data preparation and customized analyses.
Typical initial situation
For machine builders, significant added value typically arises in three phases: during commissioning and ramp-up, through technical service at the customer’s site, and through the implementation of additional digital offerings based on existing machine data. To achieve this, a solution is needed that provides technical transparency within the machine while remaining open enough to support OEM- and customer-specific applications built on top of it.
Technical transparency from the early stages of a project.
Make machine data available for service and diagnostics.
Expansion to include OEM-specific applications and user interfaces.
Life cycle
Machine data can be used both for technical root cause analysis during ramp-up and for subsequent service and analysis functions at the customer's premises if it is consistently recorded and structured at an early stage.


For new machines or lines, the decisive factor is whether deviations result from process parameters, tool states, workpiece carriers or test conditions. The technical context of the system must be visible for this.

In the event of a service call, not only messages but also process history, parts reference and technical history are helpful. This allows problems to be assessed more specifically from a distance.

Machine builders can provide analysis and transparency functions as part of their product offering instead of implementing each solution as an isolated project.
These areas are particularly relevant for machine manufacturers if reusable products or services are to be created from machine data.
Depending on the offering model, platform, standard analyses and open development layers can be combined.
Connect machines, store data, and analyze it in dashboards—all on a single platform. AI pipelines and AI notebooks help you implement machine-specific processing and analytics more quickly.
View platformThis extension of the IoT Data Hub provides ready-made analyses for machine states, errors, processes, and part histories on delivered machines or lines.
→For your own OEM-specific interfaces, services and extensions on the same platform basis.
→30-minute product demo
In a workshop, we connect the first data sources and select a specific diagnostic or analytical task. We turn it into a pilot whose value your engineering or service team can assess in use.