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| Nov 8, 2009 |
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IT Management >
Systems Operations >
Data Management >
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ALSO CALLED: Data Quality Control, Information Quality, Data Quality Assurance, and Data Content Quality
DEFINITION: Data quality is the reliability and effectiveness of data, particularly in a data warehouse. Data quality assurance (DQA) is the process of verifying the reliability and effectiveness of data. Maintaining data quality requires going through the data periodically and scrubbing it. Typically this involves updating it, standardizing it, and de-duplicating records to create a single view of the data,
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Definition continues below.
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Data Quality Multimedia
(View All Report Types)
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11 Matches
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Business Intelligence Solution for Web Infrastructure Open the Door to Better Decisions
sponsored by Sun Microsystems, Inc.
WEBCAST:
Composed of Sun hardware systems and commercial open-source solutions Pentaho for BI and data integration, and Infobright, built on MySQL, for data warehousing, this solution comes in two customizable recommended configurations to fit your data requirements and budget -- and ease deployment.
Posted: 26 Oct 2009 | Premiered: 26 Oct 2009
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In-database Analytics Demystified
sponsored by Sybase, Inc.
PODCAST:
In this podcast, listeners will hear a vendor-neutral, executive overview of in-database analytics technology from independent expert Rick Sherman. Find out how the technology works -- and how companies are leveraging it for improved operational efficiency and other business benefits.
Posted: 21 Oct 2009 | Premiered: 21 Oct 2009
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Tactical Data Quality Projects Deliver Quick ROI
sponsored by DataFlux Corporation
PODCAST:
This expert podcast offers advice for deploying and completing tactical data quality projects from Forrester's Rob Karel.
Posted: 21 Oct 2009 | Premiered: 21 Oct 2009
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Informatica 9. Transform your business. Transform your world.
sponsored by Informatica
WEBCAST:
This webcast will show you how to access and deliver relevant, trusted data to your business to drive competitive advantage. Discover how to get business and IT on the same page, make data quality issues a thing of the past and leverage SOA effectively.
Posted: 15 Oct 2009 | Premiered: 15 Oct 2009
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Competing on Innovation... Next-Generation BI Appliances
sponsored by Sybase, Inc.
WEBCAST:
View this Webcast and learn to get all the speed, flexibility and processing power of a custom-built data warehouse.
Posted: 30 Sep 2009 | Premiered: 30 Sep 2009
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The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
WEBCAST:
In this webcast featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 11 Sep 2009 | Premiered: 11 Sep 2009
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Leveraging Enterprise Data Virtual Seminar: How to Innovate and Integrate BI for Business Inexpensively
sponsored by SearchDataManagement
VIRTUAL TRADESHOW:
This unique virtual seminar will provide new ideas and actionable tactics for integrating and designing BI systems for maximum performance - and provide tips to better leverage data from business applications such as ERP, CRM, SAP and Oracle, as well as other enterprise vendors.
Posted: 31 Aug 2009 | Premiered: 31 Aug 2009
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Better Reporting, Better Results: Successful Strategies from the Field
sponsored by SPSS Inc. Worldwide Headquarters
WEBCAST:
Learn how top companies successfully deliver research results to customers and decision-makers. If you want to know more about how to leverage all of your research data, how to communicate insights effectively, and how to get researchers and decision-makers engaged in analysis, you'll want to view this webcast.
Posted: 04 May 2009 | Premiered: 04 May 2009
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Building a Data Quality Scorecard to Achieve Data Governance
sponsored by DataFlux Corporation
WEBCAST:
Operational data governance is the manifestation of the actionable processes and protocols necessary to ensure that an acceptable level of confidence in the data effectively satisfies the organization's business needs.
Posted: 06 Jan 2009 | Premiered: 06 Jan 2009
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Implementing a Data Quality Strategy
sponsored by DataFlux Corporation
WEBCAST:
In this program Gartner Research Vice President Ted Fredman and DataFlux President and CEO Tony Fisher discuss the data quality issues facing business today as well as the solutions that can solve these problems.
Posted: 06 Jan 2009 | Premiered: 06 Jan 2009
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Defining Relevant Metrics for Populating a Data Quality Scorecard
sponsored by DataFlux Corporation
WEBCAST:
In this webcast your will learn how to Populate a Data Quality Scorecard with Relevant Metrics.
Posted: 06 Jan 2009 | Premiered: 06 Jan 2009
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DATA QUALITY DEFINITION (continued): … even even if it is stored in multiple disparate systems. There are many vendor applications on the market to make this job easier. Because data quality is so important from a business perspective, many large companies employ a data steward to be in charge of data quality. In spite of this, Gartner Inc. forecasted that 25% of critical data within Fortune 1000 companies would continue to be inaccurate through 2007. A Gartner study says that poor quality customer data costs U.S. business an estimated $611 billion dollars a year in postage, printing, and staff overhead.Getting started with data quality … Data Quality definition sponsored by SearchDataManagement.com, powered by WhatIs.com an online computer dictionary
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