A Framework for the Development of the Business Case for the Introduction of Data Quality Program Linked to Corporate KPIs & Governance
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 highvalue 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 decisionmaking. 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.
Data Quality Data Quality Program Corporate KIPs Governance Framework
Veerawat Masayna Andy Koronios Jing Gao
Mahasarakham University University of South Australia
国际会议
北京
英文
230-235
2009-11-21（万方平台首次上网日期，不代表论文的发表时间）