Process Engineering

Visual Analytics methods are used to measure and compare production processes in Industry 4.0. This is important, for example, when analyzing changes or errors in production output. We offer solutions for all industries that enable comparisons between different production periods and states by quickly visualizing large data sets.

Reference project: Customized applications for Visual Analytics

The Visual Analytics team develops customized solutions for every need and use case, enabling the rapid implementation of customized, interactive analytics applications for millions of data sets, which opens up a completely new dialogue with data for all industries. The focus is on multivariate analyses, time series as well as regression analyses.

Predictive modelling

All the data that accumulates in Industry 4.0 is important information that, when correctly prepared, not only improves the explanation of existing processes, but above all enables forecasts for the future. Visual Analytics offers a range of presentation options here, above all predictive modelling, which can predict future results based on real data. Here it is essential to always focus on evaluating the quality of the data because models can only be as good as the data on which they are based.

Reference project: User-friendly analysis of high-dimensional data in real-time

In the En2VA research project, an existing analysis platform was expanded into a communication tool, for example for joint workshops between data scientists and experts, and optimized for processing extremely large volumes of data with millions of entries. This makes En2VA the ideal Visual Analytics solution for Industry 4.0, for example in the area of simulation-based product development, which enables both the testing of data quality and the creation of forecast models and their evaluation to be carried out quickly and easily.

Reference project: Visual Analytics for high-dimensional data

In our applied research project TOHIVA we developed novel Visual Analytics methods relevant for Industry 4.0 for the more efficient visualization of large, high-dimensional data for customized forecast models to support decision-making processes.

Digital Twin

The digital twin and its fields of application are among the most important topics in Industry 4.0, where companies are facing major challenges due to the digital transformation. As a digital copy of a real object or as a model of something that will be created in the future, the digital twin makes it possible to run through production processes from the initial idea to production and to simulate a wide variety of scenarios in a very short time. The preparation and accompaniment of real production processes by digital twins not only saves costs and resources but also allows a better understanding of the data and thus, for example, more accurate predictions in a production plant.


Immersive technologies offer solutions for dealing with the large amounts of data that routinely accumulate in Industry 4.0. With the help of Extended Reality (XR), even Big Data can be made accessible to people: for example, by processing these huge amounts of data in Virtual Reality. This makes the data literally tangible - the user can stick his head into the 3D data. The combination of Extended Reality and Immersive Analytics makes it possible to break down the last barriers between humans and data.

XR Trainings

Extended Reality (XR) is used in Industry 4.0 for planning, control and production. Virtual Reality training is particularly suitable for training courses, allowing employees to immerse themselves in highly realistic environments and events, thus providing them with a profound learning experience. VR training is particularly suitable for complex or even risky training courses.

Reference project: VR fire protection training as a safe and cost-effective alternative

A VR fire protection training simulates different fire scenarios and several fire extinguishing methods. The worst-case can be played through without any danger: Users learn very clearly what the fatal consequences of wrong behaviour are or what unsuccessful extinguishing looks like when the simulated fire spreads in real-time and devours the VR living room. Fire fighting in VR is clearly superior to its real counterpart in terms of safety, practicability and selection of training scenarios.