Data Analytics

Data from visualizations like these can provide powerful information to engineers and technicians about the production quality state. Overall trends can be observed by control charts and adjustments to process can be made long before any single measurements drift out of specification. If the database exists, studies and data mining can be performed here to understand what causes fluctuations and drifts of these datasets. Overtime, with the right software tools, engineers can explore the causations and effects of the data fluctuations in quality checkpoints. Engineers can build solutions to these problems that create a more stable data stream.

Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.