Unify Your Operational Data: How Manufacturers Are Building a Modern Data Foundation

Manufacturing data and analytics leaders are prioritizing infrastructure modernization, real-time advanced analytics, and automated data engineering to improve supply chains, predictive maintenance, production optimization, customer reporting, and marketing effectiveness. These efforts are complicated by vendor lock-in, fragmented data across legacy on-premises systems, cloud platforms, enterprise applications, and manufacturing systems, as well as costly custom integration architectures. The piece advocates a decoupled, standardized, and automated data connectivity foundation that separates integrations from operational systems, provides governed self-service access, and uses capabilities such as change data capture and schema change detection to replace bespoke ETL pipelines. It cites Recordati, Repligen, and Manhattan Associates as examples of organizations that reportedly reduced vendor dependency, accelerated cloud data initiatives, automated pipelines, lowered costs, and improved decision-making through CData’s connectivity tools.

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