Traditional data historians place today’s manufacturers at a distinct disadvantage. Built for individual plants, these legacy systems leave operational data fragmented across facilities, equipment, and proprietary platforms. "Manufacturers end up unable to consolidate operational data across plants, integrate it with analytics and AI, or extend it into new use cases." While data historians work well within individual plants, manufacturers increasingly need visibility across these systems and facilities to support centralized operations, analytics, and AI. But without creating custom integrations into the data historian, conducting this level of in-depth analysis would require a sizable team mired in a manual process.