In computer science, data validation is the process of ensuring data have undergone data cleansing to ensure they have data quality, that is, that they are both correct and useful. It uses routines that check for correctness, meaningfulness, and security of data that are input to the system. The rules may be implemented through the automated facilities of a data dictionary, or by the inclusion of explicit application program validation logic.
One of our major solution and partner in this area is Pimsoft’s Sigmafine. Sigmafine is an enterprise-wide software platform that improves and sustains data quality for process and manufacturing industries.
Whether it's called "Industry 4.0," "Edge Computing," "Big Data" or "IOT," there is a rapid decline in the tolerance of people, applications and business processes to poor data quality in industrial plants. In order to achieve sustainable tangible company outcomes, the modern process industries flourish on easily accessible information and reliable data.
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