This TDWI research report analyzes the state of enterprise data quality management (DQM) through a global assessment of data and analytics professionals. It reveals that while most organizations acknowledge the importance of data quality, few have mature, automated, or consistently measured DQM practices. Enterprises are generally more advanced in managing structured data quality than unstructured or semi-structured data, and only a small percentage consistently track and report data quality metrics aligned to business goals. The report evaluates maturity across organizational commitment, roles and responsibilities, DQM processes, assurance and impact, and tools and platforms. It highlights gaps in role clarity, remediation workflows, automation, and observability. The report concludes wit

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