Dirty Data

Dirty Data - Inconsistent, missing, incomplete, or erroneous data.

[Category=Data Governance ]

Source: The Data Governance Institute, 30 November 2009 08:58:42, http://www.datagovernance.com/glossary-governance/

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Dirty Data - Inconsistent, missing, incomplete, or erroneous data. Source data often contains a high percentage of "dirty" data.

[Category=Data Management ]

Source: DataMentors, 18 August 2010 09:23:24, http://www.datamentors.com/News-and-Resources/Glossary.html

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dirty data - In a data warehouse, dirty data is a database record that contains errors. Dirty data can be caused by a number of factors including duplicate records, incomplete or outdated data, and the improper parsing of record fields from disparate systems. The Data Warehousing Institute (TDWI) estimates that dirty data costs U.S. businesses more than $600 billion each year.

Also see data quality_.

Related glossary terms: correlation, customer relationship analysis (CRA), data-driven decision management (DDDM), customer valuation, Digital Silhouettes, Predictive Model Markup Language (PMML), data-driven disaster, real-time analytics, Plutchik's wheel of emotions, clickstream analysis

[Category=Data Management ]

Source: WhatIs.com, 28 July 2013 09:26:57, http://whatis.techtarget.com/glossary/Data-and-Data-Management