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The manufacturing industry continues to evolve towards a digitized data landscape, presenting companies with many new challenges. For data-related challenges, the best solution is to implement a data governance framework that outlines the processes and policies used to manage and secure a company’s data.
A comprehensive framework ensures a consistent approach across Enterprise Resource Planning (ERP), Manufacturing Execution Systems (MES), Product Lifecycle Management (PLM), and other systems while laying the groundwork for establishing a data-driven organization.
Read on to learn about 9 critical practices that should be considered when establishing a formal data governance strategy in manufacturing.