data quality


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data quality

A dimension of data contributing to its trustworthiness and pertaining to accuracy, sensitivity, validity and fitness to purpose. Scientists trust data that are accurate (high quality), and that are reviewed by trusted peers and investigators and free from unauthorised alteration (high integrity).

Key elements
Attribution, legibility, contemporaneousness, originality, accuracy, precision, completeness, consistency (i.e., logical and not out of range).
References in periodicals archive ?
About Experian Marketing Services Experian Marketing Services is a global provider of integrated consumer insights and targeting, data quality and cross-channel marketing.
Automated Deduplication: When detecting an important number of duplicates in a profiling analysis, Talend Data Quality can now automatically generate the data cleansing processes that will remove and resolve these duplicates, dramatically improving the overall data quality process efficiency.
Experian Data Quality offers a series of data quality tools for business users that deliver a quick time to value," said David Northridge, senior vice president of global product strategy for Experian Data Quality.
Recent data quality initiatives implemented by Teradata Professional Services at leading companies have resulted in significant improvements in the quality of information.
To support the GS1 US National Data Quality Program, GS1 US will hold a series of one-day workshops to educate companies about how to establish or enhance data quality programs at their organizations using a standards-based framework.
For DataFlux, 2006 was a monumental year, as we released new technology components that demonstrated our leadership in data quality and data integration," said Tony Fisher, president and CEO of DataFlux.
The Data Quality Landscape is copyrighted by Information Difference, a UK-based analyst firm, and is reused with permission.
One-Third of Respondents Rate Their Data Quality as Poor at Best and 63 Percent Don't Know How Much Money Poor Data Quality Is Costing Their Businesses
The agenda was designed with the latest trends in data quality in mind and a focus on achieving a realistic understanding of where organizations are today in their data management journey.
BackOffice has been the thought leader in SAP Data Quality Solutions since 1998.
Companies who have enjoyed a significant increase in profits in the last 12 months manage their data quality in a centralized way, with ownership resting with a single executive
Technology was also evaluated on a set of four factors: the coverage of the vendors in 17 data quality functionality areas, the longevity of the software in the market, analyst perception of the product via briefings, and customer feedback from reference customers.

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