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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.