Data recording is the most laborious task in a quality information or performance measurement system. The more important it is that the costs and time required efficiently result in substantial improvements (e.g. reduce failure costs, the number of rejects and the number of complaints, increase customer satisfaction, etc.).

It is important to take all measures ensuring outstanding data quality with respect to content, completeness and correctness. Data evaluations, process descriptions and the resulting decisions are only as good as the data they are based on.

The following selection of error sources and weaknesses in software-assisted data recording and real-time visualisation informs you about this topic and provides solutions based on the application of Q-DAS products.