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Data quality and governance podcasts


Listen to or download data quality and governance podcasts. Listen to a roundtable discussion with industry practitioners about data quality programs -- then learn how to get started and find success with Jill Dyche. Also, listen to expert advice about the latest data quality and governance trends and get best practices for developing and maintaining a data quality management strategy.


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Best practices for designing and implementing sustainable, long-term data quality programs
SearchDataManagement.com | 21 Jul 2008
GENERIC - Learn best practices for designing and implementing data quality management programs.

Creating successful data stewardship programs, with Jill Dyché
SearchDataManagement.com | 21 Jul 2008
GENERIC - Learn how data stewardship fits into data governance and data quality management programs, from Jill Dyché.

Effective data quality program management: Tips and advice
SearchDataManagement.com | 21 Jul 2008
GENERIC - Learn how to structure data quality management programs, how to deal with data quality program challenges and more, from expert Even Levy.

Data governance: How to get started and find success, featuring Jill Dyché
SearchDataManagement.com | 18 Jul 2007
GENERIC - Data governance, or lack thereof, can make or break many enterprise programs. Learn data governance program success factors and get advice in a podcast with expert Jill Dyché.

Data quality trends, with expert Larry English
SearchDataManagement.com | 24 Jan 2007
GENERIC - Data quality tools and processes have changed dramatically, so keep up with the latest data quality trends. Renowned expert Larry English provides timely advice for your data quality strategy.

How to develop and maintain an enterprise data quality management strategy, with Larry English
SearchDataManagement.com | 01 Jun 2007
GENERIC - Expert Larry English discusses how to develop and maintain a data quality management strategy. Learn how to get started, structure teams, calculate ROI and get executive support.


1 - 6 of 6

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

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