Unique data analysis techniques allows transformation of data available from process manufacturing operations, into actionable information
Process plants today are by and large well instrumented and have robust advance control systems in place. So much so that the volume of available data, the velocity at which this data is collected and the sheer variety of data available from the plant and the supply chain, makes it impossible for unaided operating personnel to assimilate and get his/her mind around this Data overload. As a result more than 80% of the data collected is just archived and never used. Plants end up being run on experience based intuition, a minimal level of data or software driven analysis undertaken by limited resources with limited time and old Standard Operating Procedures prescribed by the process licensor. This often results in anomalies going undetected, potential reliability problems and missing opportunities for improvement.
Ingenero has a unique model driven methodology for big data analysis that allows transformation of this Data available from a typical process operations, into actionable information. This has been the key to the results observed by all of Ingenero’s process manufacturing clients. This methodology allows operating personnel to drive operations based on data-enhanced insights made readily available to them. It enables operations personnel and managers with the ability to uncover truths and insights that aren’t readily obvious or don't allign with conventional wisdom or intuition. The analysis from this methodology allows predictions and provides better prescriptive insights to better determine the best course of action, while continuously growing the experience “database” of managers and operating personnel at a faster pace over time. The methodology allows the improvements to be tracked, quantified and controlled, so that it can be sustained and improved continuously.