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Power generation has an industrial data problem

Generators continue to invest in data and analytics as a means to improve reliability, optimize decisions, and mitigate the risks from an aging workforce, but many still struggle to capture ROI and significantly improve their workflows.


Siloed industrial data

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

Lack of context

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

Inability to scale use cases

Analytics use cases are developed individually at high cost and with little repeatability because scaling today is largely a manual process