Five Fundamental Data Quality Practices

Five Fundamental Data Quality Practices

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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.

Vendor:
Pitney Bowes Business Insight
Posted:
Feb 8, 2021
Published:
Jan 11, 2010
Format:
PDF
Type:
White Paper
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