Data analysis in networked production
A wide range of data can be collected with the help of intelligent and networked machines. The examination and evaluation of this data makes business processes more efficient, as process data can be used above all to predict future events. A prerequisite for this is the quality, completeness and timeliness of the collected data.
However, the art of data analysis does not lie in the collection of raw data, but in its processing and interpretation. For this, a holistic knowledge of all processes involved is of elementary importance in order to avoid misinterpretations.
In addition to continuous process improvements, successful data analysis also leads to a consistent increase in quality and to the continuous maintenance of competitiveness.
A wide range of data can be collected with the help of intelligent and networked machines. The examination and evaluation of this data makes business processes more efficient, as process data can be used above all to predict future events. A prerequisite for this is the quality, completeness and timeliness of the collected data. However, the art of data analysis does not lie in the collection of raw data, but in its processing and interpretation. For this, a holistic knowledge of all processes involved is of elementary importance in order to avoid misinterpretations. In addition to continuous process improvements, successful data analysis also leads to a consistent increase in quality and to the continuous maintenance of competitiveness.
Data analysis in networked production© https://pixabay.com/de/photos/k%c3%bcnstliche-intelligenz-roboter-ai-2167835/