
	data quality


	Home > Data management / BI Definitions - Data quality

SearchDataManagement.com Definitions (Powered by WhatIs.com)

EMAIL THIS

LOOK UP TECH TERMS		Powered by:

Browse tech terms alphabetically:

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z #

data quality

Show me everything on Data quality techniques and best practices

- 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, 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

To explore how data quality is used in the enterprise, here are some additional resources:

Data quality management pitfalls: Three common mistakes to avoid: A data quality expert explains which three areas you need to keep an eye on when implementing a data quality management initiative.

Five steps for weaving data quality management into your enterprise data integration processes: Data quality management is critical for effective enterprise data integration. In this article, get five strategic steps (and potential pitfalls) of data quality management from an expert.

Data quality management and governance tutorial: This is a complete guide to data quality management concepts, strategies and technologies. Get best practices and technology considerations for maintaining accurate, current and concise data.

Learn more about Data quality techniques and best practices

Best practices for designing and implementing sustainable, long-term data quality programs: Learn best practices for designing and implementing data quality management programs.
Data quality management and governance tutorial: This data quality and governance tutorial introduces best practices and technology considerations for maintaining accurate, current and concise data.
Data quality and governance management quiz: Test your knowledge of data quality and governance management concepts, trends and facts in this short quiz.
Data Quality Management Software Product Directory: Inside this data quality management software product directory you'll find basic information about the major vendors in the data quality market and the products they sell.
Data management industry event and conference calendar: Find listings and dates of upcoming data management industry events, conferences and seminars.
Information assurance: Dependability and security of networked information systems: Learn how information assurance involves efforts from both dependability and security areas of networked information systems.
Data quality and governance management quiz: Test your knowledge of data quality and governance management concepts, trends and facts in this short quiz.
Data quality management and governance tutorial: This data quality and governance tutorial introduces best practices and technology considerations for maintaining accurate, current and concise data.

LAST UPDATED:

23 Sep 2008

Do you have something to add to this definition? Let us know.
Send your comments to techterms@whatis.com

More resources from around the web:

-	SearchCRM.com interviewed R. Jeffrey Canter about some of the issues involved in maintaining good data quality.
-	SearchCRM.com has a quiz that lets you test your knowledge about data quality terminology.
-	The Data Warehouse Institute cites the $611 billion figure in its article, "Taking Out the (Data) Garbage."

FILE EXTENSION AND FILE FORMAT LIST
File Extension and File Format List:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z #

RELATED CONTENT

	Understanding five major enterprise information management benefits Learn about the primary enterprise information management (EIM) benefits and five major problems EIM can help solve, including data quality,...
	Gartner: Open source data quality software focuses on data profiling The open source data quality market is still in its infancy, but a handful of vendors offer adequate data profiling software, according to Gartner.
	Poor data quality costing companies millions of dollars annually Despite increased adoption of data quality software, poor data quality costs the average company more than $8 million annually, according to a new...

RELATED GLOSSARY TERMS

Terms from Whatis.com − the technology online dictionary

data (SearchDataManagement.com)
In computing, data is information that has been translated into a form that is more convenient to move or process. In other contexts, data has...

data governance (SearchDataManagement.com)
Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. ...

data quality Research White Papers

SEARCH

TechTarget provides technology professionals with the information they need to perform their jobs - from developing strategy, to making cost-effective purchase decisions and managing their organizations' technology projects - with its network of technology-specific websites, events and online magazines.


TechTarget Corporate Web Site \| Media Kits \| Site Map All Rights Reserved, Copyright 2005 - 2009, TechTarget \| Read our Privacy Policy