The value of good data - A quality perspective a framework for discussion

Tony O'Brien, Arun Sukumar, Markus Helfert

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

This study has highlighted the benefits and value of quality information and the direct consequences associated with low quality data. This paper also describes a number of taxonomies which may be used to classify costs relating to both the consequences of low quality data and the costs of improving and assuring on-going data quality. The study then provides practical examples of data quality improvement initiatives undertaken within two large organisations. Finally a data governance model is proposed centring on three inter-related fundamental elements namely: People, Processes and Data, where any attempt to improve the quality of data within any organisation must be focussed around these three essential elements.

Original languageEnglish
Title of host publicationICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems
Pages555-562
Number of pages8
Volume2
Publication statusPublished - 2013
Externally publishedYes
Event15th International Conference on Enterprise Information Systems, ICEIS 2013 - Angers, France
Duration: 4 Jul 20137 Jul 2013

Conference

Conference15th International Conference on Enterprise Information Systems, ICEIS 2013
CountryFrance
CityAngers
Period4/07/137/07/13

Keywords

  • Cost benefits
  • Data assurance
  • Data quality
  • Information value management
  • It governance
  • It management

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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  • Cite this

    O'Brien, T., Sukumar, A., & Helfert, M. (2013). The value of good data - A quality perspective a framework for discussion. In ICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems (Vol. 2, pp. 555-562)