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Avoiding Data Quality Failure: Identifying Data Quality Pitfalls before They Happen
sponsored by DataMentors, Inc
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Posted:
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19 Apr 2008
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Published:
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01 Apr 2008
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Format:
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PDF
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Length:
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15
Page(s)
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Type:
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White Paper
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Language:
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English
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ABSTRACT:
In this document Evan Levy will talk about data quality and some of the challenges, and maybe even the pitfalls, that we see in implementing data quality in many of our projects. He will discuss a little bit about data quality versus perfection, also about how data quality relies on--and relates to--the data governance paradigm, which is getting a lot of visibility these days. In addition, he will talk about some of the challenges that companies have when they are dealing with the differences between data quality, and data requirement needs that exist across different organizations.
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Author
Evan Levy
Partner and Co-Founder
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Baseline Consulting
Evan Levy, Partner and Co-Founder of Baseline Consulting, a professional services firm concentrating on enterprise data issues. He leads Baseline’s Technology Consulting Team and regularly oversees high-profile integration projects for key clients like Charles Schwab, Dell, Microsoft, and various others. Evan has been published in a wide array of industry magazines and has spoken about a range of technology delivery issues at leading industry events. He is co-author of the book Customer Data Integration: Reaching a Single Version of the Truth, which describes the business breakthroughs achieved with integrated customer data and explains how to make Customer Data Integration (CDI) work. Evan is an acknowledged expert in the field of data integration and the technology architectures that support it.<br/>
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BROWSE RELATED
RESOURCES
Customer Data Integration | Data Integration | Data Quality | IT Governance
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View All Resources
sponsored by DataMentors, Inc
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