Engineering Data for Digital Transformation
The process of turning data into digital assets involves many steps ranging from data collection, validation, reconciliation, conditioning, etc. Collectively, these steps are known as data engineering. The goal is to reliably deliver usable data to operators, analysts, data scientists, business processes and other applications.
About Pimsoft and Sigmafine
This video gives a short introduction to Pimsoft and our signature product Sigmafine. With a quick overview of the business we are in, the industries we serve, and the applications we support.
We hope this note finds you and your organization well in this challenging time. Firstly, we would like to...
Learn how to reduce the uncertainty in mass balances in the chemicals and hydrocarbon processing industries by improving measurement...
Enterprise-wide software platform improves accuracy, usability of measurement data to reduce losses and mitigate financial risk
Join Pimsoft, partners, Sigmafine users, and potential Sigmafine users for an informative two and a half day program.