Data processing is the output of data collection and performance reporting. In earlier days, data processing was a completely manual process. Workers used to collect data from the floor manually, analyze it and generate a report based on it. But this process is time-consuming, tiresome, costly, and works only for a limited quantity of data. Once the production increases to bulk volumes, it becomes difficult for humans to keep an accurate eye on the processed data. This gave rise to automated data processing.
Automated data processing is performed using various systems in combination with field equipment to obtain real-time data on all processes taking place in the plant. The systems involved in data processing are an ERP system, a real-time production monitoring system, and a performance tracking system. These systems combined, provide all data for a manufacturer. The main advantage of automated data processing is that it’s fast and efficient at processing all of the data with minimal human contact and only sharing it with authorized personnel.