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Data Quality

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1. Data Quality Strategy: A Step-by-Step Approach
To help business or IT managers develop a data quality strategy, the Appendix provides an outline of a strategy. The paper concludes with a discussion on the transition from data quality strategy development to implementation via data quality project management.
http://www.b-eye-network.com/view/556
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2. Data Quality and Data Governance: The Basics
The Framework of How an Enterprise Data Governance and Quality Effort Should be Built.
http://www.b-eye-network.com/view/630
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3. Firstlogic
For nearly two decades, businesses around the world have relied on Firstlogic software and services to help improve the quality of their information, giving them the power to identify, understand, target and deliver to customers more effectively. We offer market-specific, full-featured solutions that enhance the information structure at the heart of today's successful, knowledge-driven enterprise. Firstlogic.s software helps companies create a single record view by analyzing, cleansing, matching, and consolidating customer and operational data. Firstlogic also provides unmatched services to clients when integrating and deploying software across their enterprise. By incorporating Firstlogic.s software, organizations are better able to understand their data, provide better customer service, and make more effective business decisions.
www.firstlogic.com
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4. Data Quality
Data quality must be an integral part of an enterprise. An enterprise runs under the assumption that the data contained inside it is accurate and valid. If the data is not valid, then there is no accountability for the decisions based upon it.
http://www.b-eye-network.com/view/188
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5. Group 1 Software
Group 1 Software (Nasdaq: GSOF) is a leading provider of solutions that help over 3,000 organizations worldwide maximize the value of their customer data. Founded in 1982 and headquartered in Lanham, Maryland, Group 1 provides industry-leading technologies that allow businesses to cleanse and enrich their corporate data, generate personalized customer communications and integrate and deliver data across the enterprise. We develop and market a broad array of software solutions in five primary areas: Our data quality solutions ensure the accuracy, completness, and timeliness of corporate information Our direct marketing applications optimize delivery and reduce mailing costs Our DOC1 customer communications management technology manages the end-to-end document lifecycle Our business geographics applications provide the solution to operational problems where location is critical Our data integration solutions enable users to access, integrate and deliver key data throughout the enterprise
http://www.g1.com
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6. Data - The Root Cause of All Problems
With aggressive competition, demanding stockholders, uncompromising regulators, and ever-active legislators, data has become the lifeblood of all financial institutions.
http://www.b-eye-network.com/view/241
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7. Data Warehousing Lessons Learned: Trends in Data Quality
Breakdowns in Data and Information Quality Demand Attention The drivers of data and information quality (IQ) often show up as breakdowns - in the accuracy of data, the procedures around data operations and the usability of data.
http://www.dmreview.com/article_sub.cfm?articleId=1018111
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8. Data Quality Critical for Regulatory Compliance
The Demand for Solutions to Help Customers Meet Industry and Government Regulatory Reporting Requirements is not Abating and, in Fact, Will Continue to Grow Over the Next Few Years.
http://www.b-eye-network.com/view/521
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9. Business Intelligence and Decision-Support: Some Thoughts for the Public Sector
The Better the Quality and Timeliness of Your Business Intelligence, the Better Prepared You are to Make the Right Decision.
http://www.b-eye-network.com/view/588
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10. DataMentors Inc.
DataMentors, servicing leading database marketers like Morgan Stanley, The New York Times Company, and ABN AMRO, provides marketing and programming support to some of the biggest names in business. Obsolete fields and degraded data are the dirty elements that clog every database system. It's frustrating, costly, and slow. You don't want it, you can't find it, and you keep processing the same dirty data over and over again. Need a solution? At DataMentors, WE FIGHT DIRTY! We combat bad data like never before.
http://www.datamentors.com
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