• DocumentCode
    734482
  • Title

    Methodology for improving Data Quality Management in South African government departments

  • Author

    Malange, S.N. ; Ngassam, Ernest Ketcha ; Ojo, S.O. ; Osunmakinde, I.O.

  • Author_Institution
    Fac. of Inf. & Commun. Technol., Tshwane Univ. of Technol., Tshwane, South Africa
  • fYear
    2015
  • fDate
    6-8 May 2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    To enable effective and efficient service delivery, addressing data quality problems is an item of high importance on the business agenda of managers in government departments. However, the constant use of manual and legacy information systems, in South African government departments contributes significantly to poor data quality. This work proposes a conceptual model for improving Data Quality Management in South African government departments. The conceptual model is based on the Technology-Organization-Environment (TOE) framework. A key feature of the model is the recognition of the importance of inter-governmental systems integration/interface, electronic capturing of data and user biometric access control to improving Data Quality Management in government departments.
  • Keywords
    authorisation; biometrics (access control); government data processing; information systems; South African government department; TOE framework; business agenda; data quality management; electronic capturing; legacy information system; manual information system; technology-organization-environment framework; user biometric access control; Context; Government; Information systems; Quality management; Security; Data quality management; data quality; information technology; strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IST-Africa Conference, 2015
  • Conference_Location
    Lilongwe
  • Type

    conf

  • DOI
    10.1109/ISTAFRICA.2015.7190563
  • Filename
    7190563