• DocumentCode
    2894508
  • Title

    Key issues in achieving data quality and consistency in data warehousing among large organisations in Australia

  • Author

    Rudra, A. ; Yeo, E.

  • Author_Institution
    Sch. of Inf. Syst., Curtin Univ. of Technol., Perth, WA, Australia
  • Volume
    Track7
  • fYear
    1999
  • fDate
    5-8 Jan. 1999
  • Abstract
    This paper discusses the emergent key issues of data quality in a data warehousing environment. The research study leading to our outcome is described. We investigate the relationship between data quality and data consistency; determine whether data inconsistencies are present in data warehouses and explore how organization ensure, plan and maintain data quality. Our research outcome-an improved understanding of how organizations can maintain data quality and consistency. We found that the quality of data in a data warehouse could be influenced by factors like: data not fully captured, heterogeneous system integration and lack of policy and planning from management.
  • Keywords
    business data processing; data integrity; data warehouses; Australia; data consistency; data quality; data warehousing; heterogeneous system integration; Australia; Data warehouses; Databases; Decision making; Decision support systems; Hip; Information analysis; Information systems; Programmable logic arrays; Warehousing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
  • Conference_Location
    Maui, HI, USA
  • Print_ISBN
    0-7695-0001-3
  • Type

    conf

  • DOI
    10.1109/HICSS.1999.772757
  • Filename
    772757