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Less production losses


Increase in productivity


Increase in overlay production

Downstream energy has an industrial data problem

Data is difficult to find, access, and use

Users waste a lot of time looking for the data they need due to disintegrated OT, IT, and ET digital and paper-based data sources and numerous isolated solutions.

Lack of context and trust in data

Inability to contextualize data and generate automated insights results in a lot of manual work and prevents users from catching hidden bottlenecks and having limited insights on how their plant is running.

Inability to scale solutions

Inability to scale solutions and workflow processes across teams and assets (e.g., maintenance activities, crude oil allocation, and scheduling), resulting in wasted time and resources and suboptimal productivity.