Data Evaluation
Data evaluation forms the third pillar in the "Electronics & Data Analytics" research focus. In pre-processing, raw data is cleaned, clarified, and structured for further processing. This ensures that the subsequent analysis is based on high quality data. This is followed by data mining, where the use of the most advanced analytics and machine learning algorithms are used to extract deeper insights from the data. Identifying patterns, trends, and anomalies, not only provides information, but also significantly improves processes and decision making. Interactive dashboards, graphs, and other visual tools are used to present results in an intuitive way. This visual presentation is crucial for communicating results and supporting the strategic use of data analysis in practice.