sponsored by Pitney Bowes Business Insight
Posted:  11 Jan 2010
Published:  11 Jan 2010
Format:  PDF
Length:  12  Page(s)
Type:  White Paper
Language:  English

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.

Business Processes | Data Governance | Data Integration | Data Management | Data Profiling | Data Security | Enterprise Architectures | Metadata | Metrics | Operational Metrics (Systems)

View All Resources sponsored by Pitney Bowes Business Insight

About TechTarget:

TechTarget provides enterprise IT professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective IT purchase decisions and managing their organizations' IT projects - with its network of technology-specific Web sites, events and magazines

All Rights Reserved, Copyright 2000 - 2014, TechTarget | Read our Privacy Statement