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Batch Manufacturing processes have an industrial data problem

What can technology do for your frontline workers, subject matter experts, and data scientists? While most have invested in digital programs to deliver predictable operations, reduce energy consumption, respond to changes faster, and upskill their workforce, many still struggle to move beyond lighthouse projects and realize ROI at scale.


Siloed industrial data

Structured and unstructured data remains in disparate systems such as historians, ERP, CMMS, IoT platforms, etc., making data difficult to find, access, and use.


Lack of context

Data relationships remain largely unmapped, putting the burden on subject matter experts to understand and interpret what the data means.


Inability to scale use cases

Today, scaling is largely a manual process as use cases are developed individually, at high cost, and with little repeatability.