• DocumentCode
    2792335
  • Title

    A Framework for the Development of the Business Case for the Introduction of Data Quality Program Linked to Corporate KPIs & Governance

  • Author

    Masayna, Veerawat ; Koronios, Andy ; Gao, Jing

  • fYear
    2009
  • fDate
    21-23 Nov. 2009
  • Firstpage
    230
  • Lastpage
    235
  • Abstract
    Business organizations must achieve efficient and effective processes in order to attain competitive positions. The performance of these processes is measurable through key performance indicators (KPIs). KPIs are very important to management decision-making and are relied upon by all levels of an organization to measure success in achieving outcomes. An organization needs to be able to identify its high-value high-risk data quality (DQ) issues that support each KPI. Thus, it is thought that a rigorous framework that guides the mapping of DQ dimension to KPIs is needed to provide confidence in decision-making. This framework is also critical in helping organizations develop and improve their data quality initiatives at different business levels. In order to develop a framework that maps DQ issues to KPIs, the current state of DQ in Australian organizations and the degree of DQ initiatives which are linked to organizational KPIs are investigated. A nation-wide survey and interviews are conducted in order to develop the framework for mapping DQ efforts to organizational KPIs.
  • Keywords
    business data processing; organisational aspects; business case; business organizations; corporate KPI; data quality program; governance; key performance indicators; Australia; Costs; Decision making; Information resources; Kelvin; Measurement; Organizational aspects; Project management; Quality management; Resource management; Corporate KIPs; Data Quality; Data Quality Program; Framework; Governance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cooperation and Promotion of Information Resources in Science and Technology, 2009. COINFO '09. Fourth International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3898-3
  • Type

    conf

  • DOI
    10.1109/COINFO.2009.56
  • Filename
    5361870