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Five Fundamental Data Quality Practices
sponsored by Pitney Bowes Business Insight
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When developing or reengineering the enterprise architecture, implementing fundamental data quality practices can reduce the complexity of the data management framework thus reducing effort, risk, and leading to a high degree of trust in enterprise information.
By enabling repeatable processes for managing the observance of data quality expectations, these practices provide a solid foundation for enterprise data quality management. Read this paper to learn more about these data quality practices and the core data services upon which these practices rely.
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