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Data Profiling

DEFINITION: The use of analytical techniques about data for the purpose of developing a thorough knowledge of its content, structure and quality.


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1 - 10 of 13 Matches
Data quality assessment helps identify, fix data quality problems
sponsored by Informatica
PODCAST:   Posted: 26 Jun 2008 | Premiered: 26 Jun 2008, 09:00 EDT (13:00 GMT)
SUMMARY: In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment.

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Master Data Management and the Functional SOA Service Layer
sponsored by DataFlux Corporation
WHITE PAPER:   Posted: 12 Jun 2008 | Published: 03 Oct 2007
SUMMARY: There is a unified relationship between master data management and service-oriented architecture. Read this paper for an overview of this relationship and learn how to effectively create a strategy that encompasses both of these initiatives.

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Data Profiling: Underpinning Data Quality Management
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER:   Posted: 09 May 2008 | Published: 01 Jan 2007
SUMMARY: 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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Accelerating Enterprise Data Governance Part 1: Foundations
sponsored by DataFlux Corporation
WHITE PAPER:   Posted: 09 Apr 2008 | Published: 01 Dec 2007
SUMMARY: This paper discusses enterprise data governance, which is based on common processes for continuous data quality and improvement, an enterprise data management technology platform.

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Assessing the Potential Business Impact of Operational Data Quality IT Briefing
sponsored by Pitney Bowes Group 1 Software
WHITE PAPER:   Posted: 07 Apr 2008 | Published: 01 Apr 2008
SUMMARY: Explore data quality impacts, how data quality relates to business issues, and how to integrate data quality monitoring into operational systems.

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Enterprise Data Quality Solution - ZERO License Cost
sponsored by Infosolve Technologies, Inc.
SERVICE LISTING:   Posted: 28 Mar 2008 | Published: 01 Mar 2008
SUMMARY: Data corruption can occur due to a number of reasons, including integrating non-conforming, flawed data or erroneous data. Learn about the most common reasons that contribute to poor data quality and how to alleviate them.

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Three Blind Men and an Elephant: The Power of Faceted Analytical Displays
sponsored by Tableau Software
WHITE PAPER:   Posted: 20 Feb 2008 | Published: 01 Jan 2007
SUMMARY: Learn how faceted analytical displays can lead to insight that would be difficult to unearth otherwise. Faceted analytical displays are powerful and will help you discover new information that will translate into big benefits for your company.

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An Architecture for Data Quality: A Kimball Group White Paper
sponsored by Informatica
WHITE PAPER:   Posted: 21 Jan 2008 | Published: 01 Jan 2007
SUMMARY: 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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Data Migration: A White Paper by Bloor Research
sponsored by Informatica
WHITE PAPER:   Posted: 18 Jan 2008 | Published: 01 Oct 2007
SUMMARY: Data migration has historically been under-valued, under-resourced and not treated with the attention it deserves.

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Implementing or Upgrading SAP? Don't Forget the Data: Addressing the Challenges and Risks of Data Migration
sponsored by Informatica
WHITE PAPER:   Posted: 19 Jul 2007 | Published: 01 Jan 2006
SUMMARY: Data migration is a critical component of an SAP implementation. Learn how to address the five most common data migration challenges associated with SAP implementations and upgrades.

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