The TCS white paper emphasizes that in the Business 4.0™ era, data quantity means little without quality. Poor data quality hampers performance and costs organizations an average of \$12.8M annually. Key challenges include inaccurate, incomplete, or inconsistent data, especially across legacy systems. The paper outlines five steps to improve data quality: detect and log issues, enable ownership and resolution, fix root causes, establish a dedicated data quality program, and define KPIs. A strong data governance culture, proactive remediation, and clear metrics are essential to unlock data’s full business value.

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