In industrial environments, the importance of data is extremely high. In most cases, this data is collected manually and entered into the system by an individual. Three common issues with manually collected data are perfection, inaccuracy, and delay. Considering that raw data collected from production forms the basis for all subsequent production reports—and that important decisions rely on these reports—any issues occurring during the initial data collection phase can have a ripple effect, negatively impacting businesses.
Data collected from the field supports essential functions such as production planning, efficiency analysis, cost and downtime analysis, stabilization, and maintenance planning. Collecting production data is a critical and error-free requirement for factories. Therefore, automating the production data collection process brings substantial benefits to businesses.



