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Most Popular Data Stewardship Reports |
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sponsored by Informatica
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sponsored by TriGeo Network Security
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sponsored by Pitney Bowes Group 1 Software
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WHITE PAPER: Posted: 09 Oct 2008 | Published: 09 Oct 2008
This E-Guide discusses the critical importance of establishing regular log data reviews as part of an effective SIM program and looks at how this technology can help financial institutions.
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by TriGeo Network Security 
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WHITE PAPER: Posted: 08 Oct 2008 | Published: 01 Oct 2008
With so many business activities going online to take advantage of the benifits of the internet, companies spend billions on security measures. But when canvassing a majority of companies' security programs, one area continues to come up short - email.
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by DataMotion 
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JOURNAL ARTICLE: Posted: 15 Sep 2008 | Published: 01 Sep 2008
Read a system administrator's reaction to an earlier Face-Off column in Bug Finding: Ethical and Necessary. Plus, a principal security analyst discusses Upfront Data Protection.
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by Information Security Magazine 
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PODCAST: Posted: 05 Sep 2008 | Premiered: 05 Sep 2008
Master data management (MDM) promises to help organizations solve a host of problems caused by inconsistent, incompatible or simply incorrect data.
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by SAP America Inc 
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WHITE PAPER: Posted: 09 May 2008 | Published: 01 Jan 2007
Data Profiling delivers a deeper and broader insight in a fraction of the time required by traditional approaches to data analysis.
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by Pitney Bowes Group 1 Software 
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WHITE PAPER: Posted: 09 May 2008 | Published: 01 Jan 2008
This paper offers valuable insights and considerations for corporations and other organizations seeking to implement a Master Data Management strategy.
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by Pitney Bowes Group 1 Software
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WEBCAST: Posted: 07 Feb 2008 | Premiered: Available On Demand
View this expert Webcast, and listen to the complementary expert podcast, to learn how to find the best way to structure data stewardship and data quality programs that will be effective, sustainable and successful.
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by SearchDataManagement 
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WHITE PAPER: Posted: 21 Jan 2008 | Published: 01 Jan 2007
This paper describes an easily implemented, nondisruptive, scalable, and comprehensive foundation for capturing data quality events as well as measuring and ultimately controlling data quality in the data warehouse.
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by Informatica 
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