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

Six Myths about Data Quality

28 January, 2017

Steven Sarsfield

Data Quality

New

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

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 ch

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