ODC -Operating data collection
ODC efficiently captures and analyzes production data. Integrated tools allow for customized evaluations, while actual and target values are automatically transferred back to the ERP system.
With operating data collection (ODC), you can capture and analyze manufacturing data precisely and in real time. Leverage powerful reporting and analysis tools for customized evaluations. Automatic feedback of actual and target values to your ERP system ensures seamless workflows and well-informed decision-making.
Here you can get a comprehensive overview via the MES software from gboMES.

Was versteht man unter Betriebsdatenerfassung?
What is meant by operating data collection?
ODC includes the automatic recording and analysis of production data such as machine running times, material consumption and order status. This data enables companies to control production processes efficiently, recognise faults at an early stage and make decisions based on real-time information.
How does ODC increase production efficiency?

Maximum transparency
ODC provides seamless documentation of the entire production process. Order changes, disruptions, and maintenance activities are recorded in real time, enabling rapid responses.

Flexible data access
Production data is available anytime and anywhere — whether in the office, on the go, or in the home office. This promotes efficient collaboration and fast decision-making.

Optimised planning
Through bidirectional data exchange, precise post-calculations and realistic target times can be created to better plan future orders. Cost reduction through process optimization.
Overview of Benefits
Nutzen der Maschinendaten-erfassung im Überblick
Real-time transparency
Mobile and stationary recording —
Multi-device capable
Increased efficiency through optimized processes
Comprehensive individual reporting
Cost reduction – Less downtime
Recalculation possible
Bidirectional integration with numerous systems
Access from remote offices
Wo findet Maschinendaten-erfassung Anwendung?
Where is operational data collection used?
Our ODC system continuously records relevant production data, enabling companies to optimize their manufacturing processes and detect disruptions early. Operational data collection is used in a wide range of industries to create transparency, reduce costs, and increase efficiency. Through seamless documentation and analysis of operational data, ODC makes a significant contribution to improving productivity and sustainability.
ODC-References
Gain insight into our project portfolio here.
FAQ – Operating data collection (ODC) for small and medium-sized enterprises
ODC is the digital recording, processing and analysis of production-related information – e.g. order progress, set-up times, rejects, material consumption or personnel times. The aim is to make the actual production process transparent and controllable.
• Complete traceability of manufacturing processes
• Live information on order status and workload
• Increased planning security through well-founded actual data
• Better post-calculation through automated time recording
• Transparency for employees and managers
By recording operating data, you can immediately see where the problem is — and can take targeted countermeasures.
• ODC (operating data collection) focuses on organizational and order-related data — such as who produced what, when.
• MDA (machine data aquisition) records technical machine conditions — such as running times, downtimes or sensor values.
Both systems complement each other ideally and together form the basis for a consistent MES.
Yes. gbo Datacomp's production data collection system is fully interface-compatible and can be easily integrated into existing ERP or production planning systems. This prevents data silos from forming and ensures a continuous flow of information.
Yes – in addition to stationary terminals, data can also be collected via tablet, smartphone or PC workstations. This allows your employees to collect and access data anywhere in the company – from the factory floor to the office.
For example:
• Order start and end
• Setup and machine times
• Reasons for downtime
• Material consumption
• Good/scrap quantities
• Attendance and hours of activity
This data can be automatically supplemented with MDA and in KPI dashboards be visualized
The ODC solution has been tried and tested across industries — including in:
• Metal and plastic processing
• automotive subcontracting
• Wood, furniture and packaging industry
• Medical technology and food production
Thanks to its modular structure, the solution can also be used by smaller and specialized companies.
• Analysis of your needs and processes
• Connecting machines and workstations
• Introduction of software and training your teams
• Ongoing support and expansion as required
Depending on the scope, a first productive deployment can take place after just a few weeks.
The ODC costs depend on the number of workstations, level of integration and the desired range of functions. gbo‑Datacomp offers scalable packages for medium-sized companies — from entry-level solutions to complete MES integration.
Yes Digital process optimization is eligible for funding — e.g. via:
• “Digital Now” (BMWK)
• “go-digital”
• regional programs of individual federal states
We would be happy to advise you on the optimal funding strategy and assist you with the application process.
Would you like more transparency, less reactive power and predictable processes?
Then now is the right time to digitally expand your production. Arrange a non-binding consultation with our experts now.

Michael Möller
ceo
ist mit tiefem technischem Know-how seit vielen Jahren der Fachexperte in der MES-Branche. Sein langjährige Branchenkenntnis garantieren maßgeschneiderte Lösungen. Geht nicht gibt's nicht...

Michael Möller
Geschäftsführer
ist mit tiefem technischem Know-how seit vielen Jahren der Fachexperte in der MES-Branche. Sein langjährige Branchenkenntnis garantieren maßgeschneiderte Lösungen. Geht nicht gibt's nicht...
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Dietmar Raab
Vertrieb/Consulting

David Schmidt
Vertrieb/Consulting