Data Quality

Choose Index below for a list of all words and phrases defined in this glossary.

Data Quality : See Information quality_.

[Category=Data Quality ]

Source: Larry English, http://www.iaidq.com/main/glossary.shtml , 21-Jan-2009 11:13

Data quality - Data content quality is the degree to which data values accurately represent the characteristics of the real-world entity or fact, and meet the needs of the information customers to perform their jobs effectively.

[Category=Data Quality ]

Source: Larry English, "Improving Data Warehouse and Business Information Quality", 1999, p. 29

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Data quality - Data quality is the reliability and effectiveness of data particularly in a data warehouse

[Category=Data Quality ]

Source: WhatIs.com, 26 August 2009 11:46:25

Data quality - Data Quality, in its most fundamental definition, is a metric by which the value of your data to your enterprise can be measured. Data Quality, though, is also an actionable philosophy, as Data Quality can be manipulated up or down, whereby it increases or decreases the value of the data upon which it acts accordingly.

[Category=Data Quality ]

Data for Development Inc., 26 August 2009 11:46:56

Data quality - An assessment of the completeness, currency, logical consistency and accuracy of data for a particular purpose.

[Category=Data Quality ]

Magic.gov.uk, 26 August 2009 11:47:28

Data quality - Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."

[Category=Data Quality ]

J.M. Juran, 26 August 2009 11:48:01

Data quality - the data are deemed of high quality if they correctly represent the real-world construct to which they refer.

Wikipedia, 26 August 2009 11:48:28

Data quality - The state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.

Government of British Columbia, 26 August 2009 11:48:58

Data quality - The totality of features and characteristics of data that bears on their ability to satisfy a given purpose; the sum of the degrees of excellence for factors related to data.

[Category=Data Quality ]

Glossary of Quality Assurance Terms, Hanford.gov, 26 August 2009 11:49:56

Data quality: "... the definition of data quality is data that's fit for purpose."

[Category=Data Quality ]

Evan Levy, 08 September 2009 09:45:18, http://www.information-management.com/blogs/data_quality_profiling_process_continous_improvement-10015969-1.html?ET=informationmgmt:e1097:2143848a:&st=email

Data Quality - The practice of correcting, standardizing, and verifying data.

[Category=Data Governance ]

Source: The Data Governance Institute, 27 November 2009 09:34:34, http://www.datagovernance.com/glossary-governance/

Data Quality - Data Quality is a measure of the value of data in relation to potential data problems:

- missing data records or data values

- incorrect or out-dated data values

- inconsistent abbreviations and spelling

- inconsistent data formats and units of measure

- inconsistent data organization

- duplicate data

- violations of data-rules or business-rules

Data quality can be analyzed in relation to a particular Data Quality Domain, making it possible to determine the importance of different data problems.

[Category=Data Quality ]

Brian Marshall, 19 April 2010 08:34:58, http://www.telusplanet.net/public/bmarshal/dataqual.htm

Data Quality - Data Quality refers to the totality of features and characteristics of data that bears on their ability to satisfy a given purpose; the sum of the degrees of excellence for factors related to data.

MedIEQ, 20 April 2010 11:32:53, http://www.medieq.org/glossary

Data Quality - The measure of data for accuracy, correctness, timeliness, completeness, and relevancy.

Source: Public Schools of North Carolina, 23 April 2010 10:38:51, http://www.ncpublicschools.org/data/management/glossary/

Data Quality - The degree of excellence of data. Factors contributing to data quality include: the data is stored according to their data types, the data is consistent, the data is not redundant, the data follows business rules, the data corresponds to established domains, the data is timely, the data is well understood, the data satisfy the needs of the business, the user is satisfied with the validity of the data and the information derived from that data, the data is complete, and there are no duplicate records. For example, this means that a customer's name is spelled correctly and the address is correct.

[Category=Data Cleansing ]

Source: X4DB, 17 May 2010 08:39:20, http://www.x4db.com/glossary.html

Data Quality - the relative value of data, which is based on the accuracy of the knowledge that can be generated using that data. High-quality data is consistent, accurate, and unambiguous, and it can be processed efficiently.

[Category=Data Quality ]

Source: SAS, 27 May 2010 09:29:46, http://support.sas.com/documentation/cdl/en/dqclref/63101/HTML/default/viewer.htm#/documentation/cdl/en/dqclref/63101/HTML/default/a002282654.htm

Data Quality - The narrow definition of data quality is that it's about data that is missing or incorrect. A broader definition is that data quality is achieved when a business uses data that is comprehensive, consistent, relevant and timely.

[Category=Information Management ]

Source: Information-Management.com, 11 June 2010 11:11:50, http://www.information-management.com/glossary/d.html

Data Quality - Indicates how well data in the data resource meet the business information demand. Data quality includes data integrity, data accuracy, and data completeness.

[Category=Data Warehousing ]

Source: Sun.com, 24 July 2010 09:22:30, http://www.sun.com/third-party/dw/brochures/67198.Acrobat.pdf

Data Quality - Indicates how well data in the data resource meet the business information demand. Data quality includes data integrity, data accuracy, and data completeness.

[Category=Data Warehousing ]

Source: Aexis Business Intelligence, 21 November 2010 10:31:44, http://www.aexis.eu/DataWarehouse-Glossary/

Data Quality - Master Data Management_ solutions must be able to support continuous data quality improvement.

[Category=Data Quality ]

Stibo Systems, 17 May 2011 09:36:31, http://www.stibosystems.com/US/Resources/Glossary/B.aspx

data quality - Source: AGI glossary. http://www.geo.ed.ac.uk/agidict/welcome.html External

"Indications of the degree to which data satisfies stated or implied needs. This includes information about lineage, completeness, currency, logical consistency and accuracy of the data".

[Category=Geospatial ]

Source: Open Geospatial Consortium, 08 June 2011 08:29:10, http://www.opengeospatial.org/ogc/glossary

Data quality - The state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use.

[Category=Data Quality ]

Source: DAMA UK, 15 July 2011 09:05:05, http://www.damauk.org/glossary.php

Data quality - Data quality refers to a set of principles laid down in Article 6 of Directive 95/46/EC and Article 4 of Regulation (EC) No 45/2001. Data quality means that personal data must be:

* processed fairly and lawfully;
* collected for specified, explicit and legitimate purposes and not further processed in a way incompatible with those purposes. Further processing for historical, statistical or scientific purposes shall not be considered incompatible provided that appropriate safeguards have been provided by the controller;
* adequate, relevant and not excessive in relation to the purposes for which they are collected and/or further processed;
* accurate and where necessary kept up to date; and
* kept in a form which permits identification of data subjects for no longer than is necessary for the purposes for which they were collected or further processed. If data are stored for longer periods for historical, statistical or scientific use, they should be kept either in anonymous form only or, if not possible, only with the identity of the data subjects encrypted.

[Category=Data Security ]

Source: European Data Protection Supervisor, 27 July 2011 09:02:34, http://www.edps.europa.eu/EDPSWEB/edps/cache/off/EDPS/Dataprotection/Glossary

Data Quality - The condition of data in a database with regard to uniqueness, integrity, completeness, validity (including timeliness), accuracy, consistency and uniformity.

[Category=Direct Marketing ]

Source: Digital Formatting Services, 23 December 2011 09:13:04, http://www.digitalformattingservices.com/vdp_glossary.htm

Data Quality - Data quality pertains to aspects such as availability, completeness, accuracy, consistency, relevance and timeliness of data. High data quality is essential to business intelligence's role as a means of decisional support. Poor data quality examples: missing fields, old or inaccurate information, data conflicts, inaccessible data in legacy systems.

[Category=Business Intelligence ]

Source: ElegantJ BI Business Intelligence, 28 October 2012 09:32:54, http://www.elegantjbi.com/resources/glossary_a.htm

Data quality - Data quality is the reliability and effectiveness of data particularly in a data warehouse

Source: WhatIs.com, 26 August 2009 11:46:25

Data for Development Inc., 26 August 2009 11:46:56

Data quality - An assessment of the completeness, currency, logical consistency and accuracy of data for a particular purpose

Magic.gov.uk, 26 August 2009 11:47:28

Data quality - Data are of high quality "if they are fit for their intended uses in operations, decision making and planning."

J.M. Juran, 26 August 2009 11:48:01

Data quality - the data are deemed of high quality if they correctly represent the real-world construct to which they refer

Wikipedia, 26 August 2009 11:48:28

Data quality - The state of completeness, validity, consistency, timeliness and accuracy that makes data appropriate for a specific use

Government of British Columbia, 26 August 2009 11:48:58

Data quality - The totality of features and characteristics of data that bears on their ability to satisfy a given purpose; the sum of the degrees of excellence for factors related to data

Glossary of Quality Assurance Terms, Hanford.gov, 26 August 2009 11:49:56

Data quality - Data quality is a perception or an assessment of data's fitness to serve its purpose in a given context.

   * Aspects of data quality include: 
   * Accuracy
   * Completeness
   * Update status
   * Relevance
   * Consistency across data sources
   * Reliability
   * Appropriate presentation
   * Accessibility

Within an organization, acceptable data quality is crucial to operational and transactional processes and to the reliability of business analytics (BA) / business intelligence (BI) reporting. Data quality is affected by the way data is entered, stored and managed. 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.

See also: data life cycle management (DLM), data governance_, Data Management_, data protection management (DPM)

[Category=Data Management ]

Source: WhatIs.com, 22 July 2013 09:27:52, http://whatis.techtarget.com/glossary/Data-and-Data-Management

data quality

The measure of data to determine its worthiness for decision making, planning, or operations.

[Category=Big Data ]

Source: DataInformed, 26 October 2013 09:29:23, http://data-informed.com/glossary-of-big-data-terms/

data quality (DQ): The degree to which the data is suitable for use in the required business processes. The quality of data can be defined, measured, and managed through various data quality metrics, such as completeness, conformity, consistency, accuracy, and duplication. Data quality is achieved through people, technology, and processes.

[Category=Data Cleansing ]

Source: Microsoft Data Quality Services Data Portability Overview, 27 December 2013 08:46:12, http://msdn.microsoft.com/en-us/library/hh305078(v=sql.105).aspx

Data Quality - Data Quality trägt maßgeblich dazu bei, die Unternehmensplanung und -steuerung zu optimieren, neue Geschäftspotenziale zu erschließen, Risiken zu minimieren und Kosten zu senken. Eine gute Data Quality zeichnet sich durch konsistente, korrekte, aktuelle und dublettenfreie Kunden- und Transaktionsdaten aus.

[Category=Data Quality ]

Source: Uniserv, 02 January 2014 08:39:18, http://www.uniserv.com/de/glossary/index.php

Data Quality_

Data Quality - definition(s)