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Data Quality

Jeretta Horn Nord, G. Daryl Nord, Hongjiang Xu, Elizabeth S. Myrin

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Abstract

This chapter presents results from a large-scale survey of Australian CPA members regarding data quality. The research investigates and reports major stakeholders’ opinions on the importance of critical success factors affecting data quality and the actual performance on each of those factors. The results reveal whether dissimilarly sized organizations differ in the way they measure the importance and performance of critical success factors for data quality in accounting information systems.

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What this paper is about

This chapter presents results from a large-scale survey of Australian CPA members regarding data quality. The research investigates and reports major stakeholders’ opinions on the importance of critical success factors affecting data quality and the actual performance on each of those factors. The results reveal whether dissimilarly sized organizations differ in the way they measure the importance and performance of critical success factors for data quality in accounting information systems.

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Available abstract

This chapter presents results from a large-scale survey of Australian CPA members regarding data quality. The research investigates and reports major stakeholders’ opinions on the importance of critical success factors affecting data quality and the actual performance on each of those factors. The results reveal whether dissimilarly sized organizations differ in the way they measure the importance and performance of critical success factors for data quality in accounting information systems.

Key concepts: Quality (philosophy), Data quality, Scale (ratio), Business, Computer science, Process management, Data science, Marketing

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