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Data quality management and governance tutorial



Data governance, data stewardship and new or modified business processes are often required to implement data quality management programs that will stand the test of time. But the potentials returns of effective data quality make these programs worth the time and money, experts say, and can enhance the value of other initiatives, such as BI and MDM. In this data quality management and data governance tutorial, business and IT leaders alike will find essential guidance, best practices, technology recommendations and other advice for implementing sound data quality management and data governance programs.

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DATA QUALITY MGMT. BEST PRACTICES

Get data quality management best practices for implementing data quality assurance programs and building a data quality business case. Read about the role of data quality management in business intelligence and data integration projects, and learn from common data quality mistakes and horror stories.
LEARN MORE: DATA QUALITY MGMT. BEST PRACTICES


DATA QUALITY MGMT. SOFTWARE

Read data quality management software case studies and find articles about top data quality tools in Gartner's Magic Quadrant. Learn about trends in the data quality management and data profiling software market and stay up-to-date with vendor acquisitions.
LEARN MORE: DATA QUALITY MGMT. SOFTWARE


DATA GOVERNANCE TRENDS AND ADVICE

Learn data governance trends and get best practices for beginning and planning a data governance project. Read about the roles and responsibilities of the data steward, and get tips and expert advice about why data governance initiatives fail -- and how they can succeed.
LEARN MORE: DATA GOVERNANCE TRENDS AND ADVICE







Data Quality Management: Data Stewardship, Data Cleaning, Quality Tools