Uncertainty in global hydrocarbon markets has led to the tightening of belts on capital expenditures while new capacity comes online, driving prices lower and pinching profit margins.
Uncertainty in global hydrocarbon markets has led to the tightening of belts on capital expenditures while new capacity comes online, driving prices lower and pinching profit margins. Companies are forced to get creative, using data to understand their processes better and overcome constraints without the budget to increase throughput by upgrading plant equipment.
However, parsing out prescriptive process optimization from time series data is arduous, and it often requires the expertise of expensive internal or external data science teams. Conversely, companies’ internal engineers and frontline subject matter experts (SMEs) can leverage data science concepts equipped with point-and-click to
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