Prototype System for Improving Manually Collected Data Quality.
Jari Soini, Pekka Sillberg, Petri Rantanen · 2014
Even nowadays, a great deal of measurement data is collected and also saved manually. In this kind of situation, there are phases when human error can easily occur and also when interpreting the typed collected measurement data could be difficult. This research aimed to discover resources for improving the quality of measurement data as well as better and more illustrative tracking of usage information in real time. The objective was both quality improvement of a specific measurement data collection process as well as the elimination of human error. This paper describes one reliable solution for this purpose, which improves the quality and also the visual presentation of manually collected data. The paper presents elements of the system developed for this aim and also the technology deployed along with its operational principles.