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Data management and integration

This is because simulation processes generate large volumes of data in different formats and systems, including input and output data, simulation models and results.

Process automation and repeatability

because simulations often consist of complex, repetitive workflows that are managed manually. This can lead to errors, loss of time and a lack of traceability.

Cooperation and communication

because everyone involved should always be on the same page and use the right data.

Model and variant management

because in practice, various simulations with different parameter and model variants are carried out for optimization purposes.

Quality assurance and compliance

because simulations must be carried out correctly in order to meet the requirements (e.g. legal or internal company specifications).

Traceability and traceability

because development processes must be traceable at all times.

What advantages does the SimData Manager offer for CAE data?

The SimData Manager enables versioned management and traceability of CAE data, from input data to results. This ensures a high level of transparency and control over all CAE processes.

How does the SimData Manager support the efficiency of simulations?

With modules such as “Run Setup” and “Evaluation”, the SimData Manager offers a high level of automation, standardization and intuitive evaluation functions that make the setup and evaluation of simulations efficient.

Why is the SimData Manager future-proof?

The SimData Manager is flexible and expandable through Python and Rest API, supports secure cross-site data exchange and integrates PLM, cloud deployment and SaaS, providing long-term planning security.

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