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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.

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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
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Lack of context

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