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"Leading organizations no longer treat Data Quality (DQ) as an unknown. Rather, people today accept that they do have DQ problems but may not know how to deal with such problems. Furthermore, many new DQ issues have emerged as organizations began their journey to data quality: real-time cleansing and matching, metadata management, DQ dashboards, and new government
regulations"*.
* Wang, Richard, "Data Quality: Theory and Practice". Keynote Address, Tampa, 2004
Key Benefits
 | Customer perspective (stakeholders' perceptions) |
 | Information managed as a Product |
 | Adoption of classical TQM principles |
 | Integrates multiple dimensions of Data Quality |
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