Pimcore’s guide to building a Data Quality Roadmap for your PIM system outlines a structured six-step process. It begins by clarifying existing data, setting clear goals, and designing a data quality model tailored to organizational needs. The roadmap emphasizes integrating data quality rules, identifying exceptions, and establishing corrective processes. Finally, it advocates continuous monitoring of data quality against set targets to ensure ongoing improvement. This checklist helps organizations enhance the accuracy, consistency, and reliability of their PIM data for better business outcomes.

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