How to lay the foundation for successful projects with effective data preparation and analysis
In an increasingly data-driven world, the evaluation of existing (digital) information is a central building block for making informed decisions in production and logistics processes.
Modern analysis methods often serve as the basis for further optimisation and simulation projects that help companies to make their processes more efficient and use resources in a targeted manner.
The results of the data analysis often provide valuable insights that can serve as a solid basis for objective and well-founded decisions on change measures.
The analysis provides:
- Clear insights into processes: Weak points and potential become visible.
- Well-founded decision bases: Measures can be developed based on data.
- Time and cost savings: Often, a data analysis is sufficient to achieve quick improvements.
What is the procedure?
- Identification of data sources, data acquisition and preparation: the basis for valid analyses.
- Use of efficient analysis tools: we analyse your data independently of the source using our own tool SimAssist or similar.
- Use of results (e.g. in a simulation model): planning and optimisation of processes based on reliable data.
- Conclusion: Data collection and analysis is more than just an essential preparation for process optimisation – it is a key to informed decision-making and sustainable success.
Please contact us if you need support with your data analysis.
