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Data waste is a hidden but costly problem in manufacturing, where scattered, delayed, or poorly managed information leads to inefficiencies, missed targets, and expensive errors. Traditional systems struggle with the volume and complexity of modern data, causing delays and poor decision-making that slow down operations and increase costs. The solution lies in adopting cloud-first, data-driven manufacturing. By centralizing data in the cloud, manufacturers gain real-time insights, predictive analytics, and automation that reduce downtime, prevent waste, and speed up decisions. This approach creates leaner, more agile operations with smarter workflows-all achievable through gradual implementation without disrupting existing processes.