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3 Aug, 2018
Data Quality Heroes
03 August, 2018
Bart Basens
Best Practices
Every organization needs a set of roles that are responsible for managing the quality of the data and metadata that are used in the enterprise’s operations and analytics. These roles are the “data quality heroes.” Introduction Data management entails the proper management of data as well as the corresponding data definitions or metadata. It aims at ensuring that data and its metadata are of
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21 Feb, 2018
The Poor State of Data Quality and a Solution
21 February, 2018
Thomas C. Redman
Data Quality
A CONVERSATION WITH TOM REDMAN : Anne Marie Smith, Ph.D. Data quality has been a continual challenge for almost every organization for many years. In this recap of a conversation with Dr. Thomas C. Redman, he offers a possible simple solution. AMS: Subscribers to Data Management University should study “Only 3% of Companies Data Meet Basic Quality Standards” published September 2017 by Tadhg N
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28 Jan, 2017
Six Myths about Data Quality
28 January, 2017
Steven Sarsfield
Data Quality
Master data management continues to be plagued by poor data quality, costing many organizations time, money, lost customers, lost reputation and inefficiencies. Introduction In several surveys, taken by various research organizations about master data management and data quality, on average, 83% of respondents reported that their organizations have suffered problems due to poor master data. Busin
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20 Aug, 2013
Foundations of Data Quality Management
20 August, 2013
Anne Marie Smith, Ph.D.
Data Quality
Data quality is a function of data's fitness for use to a particular purpose in a given context; measured against stated requirements or guidelines. High data quality engenders trust in operational and strategic decisions. Introduction Data quality is a perception or an assessment of data’s fitness to serve its purpose in a given context (Thomas C. Redman, 2008). It is an essential character
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1 Oct, 2009
ISO 8000 Data Quality
01 October, 2009
Peter R. Benson
Data Quality
ISO 8000 defines the parameters of data quality, so one can ask for quality data and verify that one has received quality data Introduction It is common to see the relationship between data and information represented as a pyramid with data as the base rising through information and knowledge to wisdom as the apex. In researching the origin of this hierarchy, one discovers that the original refere
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