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Describing data quality problem through a metadata framework

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Data quality management is a pressing issue in the adoption and implementation of Business Intelligence system in every organisation. We believe that an extensive metadata infrastructure is the primary technical solution for management of data quality in Business Intelligence. We derived a set of data quality dimensions by carefully examining the data quality management principles and current BI environment. Then, a high-level metadata framework is proposed.

Original languageEnglish
Title of host publication18th Americas Conference on Information Systems 2012, AMCIS 2012
Pages2112-2121
Number of pages10
Publication statusPublished - 2012
Externally publishedYes
Event18th Americas Conference on Information Systems 2012, AMCIS 2012 - Seattle, WA, United States
Duration: 9 Aug 2012 → 12 Aug 2012

Publication series

Name18th Americas Conference on Information Systems 2012, AMCIS 2012
Volume3

Conference

Conference18th Americas Conference on Information Systems 2012, AMCIS 2012
Country/TerritoryUnited States
CitySeattle, WA
Period9/08/12 → 12/08/12

Keywords

  • Business intelligence
  • Data quality
  • Framework
  • Metadata

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