Smart data engineering

Smart data

Big data is the promise of gaining new information through the analysis of large data stores. Combining technical expertise with IT competency is crucial in order to gain such insights. Building on these competencies, we realize complete solutions optimally tailored to the customer for the administration and analysis of all resulting technical data.

We advise you in the conceptual design of your smart data solution, validate it in a proof of concept and realize the complete solution. We also look after operating the overall solution – on-premise at the customer site or off-premise depending on your preferences.

Data capture

Storage

Interactive analysis

Automated evaluation

Data capture

Ensuring that all important data from production or development can be recorded is the first step. Suitable and secure solutions for this purpose are designed and realized by us. We are familiar with all interfaces commonly used in this field, such as dataloggers, MES systems, SCADA and OPC-UA.

Storage

Securely storing large stores of data requires a suitable storage solution. We design and operate corresponding solutions that meet the requirements in terms of capacity, speed and availability. Solutions for the backup and archiving of the collected data are provided by us as well.

Interactive analysis

You want to draw conclusions about your processes in development and production by analysing the recorded data (data mining). Here we utilise our application knowledge in the automotive, mechanical engineering and plant construction, and transportation systems domains to prepare analyses and reports, make recommendations or prepare new control and evaluation algorithms.

Automated evaluation of data

We run automated statistical analysis processes on your data, giving you the most visibility and control possible. For example, this can lead to control mechanisms for production, collection and display of KPIs, or just conducting tests in development. We design and realize automated analysis processes for your data. In doing so, we use statistical methods and contribute our extensive domain knowledge.