5 Pillars of a Solid Industrial Analytics Solution

A core requirement of analytics value is connectivity to modern data sources, plant devices and enterprise applications (MES, SCADA, ERP, CRM etc.) via standard industry protocols, but also in-place brownfield manufacturing databases that may have evolved from operating support systems over decades. Since these assortments of data repositories can rarely be kept to the latest, greatest architecture and open connectors, a desirable solution should provide both modern and legacy, proprietary connectors, or mechanisms to exchange data to a broad range of IoT and Analytical systems. In addition, a mature industrial analytic solution should be aware of the challenges of capture time, data quality (or status) and value when provided from smart sensors

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