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.
This webinar will discuss how Sigmafine can support upstream operations by validating well predictions against production through minimizing uncertainty.
This webinar will discuss how Sigmafine balancing & tracking applications help you get the most out of your data...
This webinar will discuss how Pimsoft's Sigmafine Quality Tracking Analysis can deliver significant improvements in estimating and monitoring material...
Join us for one of our complimentary webinars covering various topics and various industries, to help you get the...