Data quality enhancing software for asset management: state of the art evaluation

  • Authors:
  • Sasa Baskarada;Jing Gao;Shien Lin;Ging Sun Yeoh;Andy Koronios

  • Affiliations:
  • School of Computer and Information Science, University of South Australia, Mawson Lakes, SA, Australia;School of Computer and Information Science, University of South Australia, Mawson Lakes, SA, Australia;School of Computer and Information Science, University of South Australia, Mawson Lakes, SA, Australia;School of Computer and Information Science, University of South Australia, Mawson Lakes, SA, Australia;School of Computer and Information Science, University of South Australia, Mawson Lakes, SA, Australia

  • Venue:
  • AMCOS'05 Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper places a special focus on data quality (DQ) issues associated with asset management (AM) systems and on how software can assist in dealing with those various DQ issues. It does not intend to merely be a review of DQ software, but rather aims to identify limitations of such software solutions when used in conjunction with AM applications. Therefore, this paper can be valuable to practitioners, researchers and software developers who are specializing in, studying, developing or adopting a computerized software solution for data quality maintenance in AM systems.