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Factors influencing organizations to improve data quality in their information systems

Sing What Tee, Paul L. Bowen, Peta Doyle, Fiona H. Rohde

Open publisher page 62 citations

Abstract

Abstract Although managers consider accurate, timely and relevant information as critical to the quality of their decisions, evidence of large variations in data quality abounds. This research examines factors influencing the level of data quality within a target organization. The results indicate that management's commitment to data quality and the presence of data quality champions strongly influence data quality in the target organization. The results also show that the managers of the participating organization are committed to achieving and maintaining high data quality. However, changing work processes and establishing a data quality awareness culture are required to motivate further improvements to data quality.

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What this paper is about

Abstract Although managers consider accurate, timely and relevant information as critical to the quality of their decisions, evidence of large variations in data quality abounds. This research examines factors influencing the level of data quality within a target organization. The results indicate that management's commitment to data quality and the presence of data quality champions strongly influence data quality in the target organization. The results also show that the managers of the participating organization are committed to achieving and maintaining high data quality. However, changing work processes and establishing a data quality awareness culture are required to motivate further improvements to data quality.

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Available abstract

Abstract Although managers consider accurate, timely and relevant information as critical to the quality of their decisions, evidence of large variations in data quality abounds. This research examines factors influencing the level of data quality within a target organization. The results indicate that management's commitment to data quality and the presence of data quality champions strongly influence data quality in the target organization. The results also show that the managers of the participating organization are committed to achieving and maintaining high data quality. However, changing work processes and establishing a data quality awareness culture are required to motivate further improvements to data quality.

Key concepts: Quality (philosophy), Data quality, Information quality, Knowledge management, Quality policy, Work (physics), Quality management, Process management

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