Data quality initiatives: striving for continuous improvements
Tee, Singwhat, Bowen, Paul L., Doyle, Peta, and Rohde, Fiona H. (2007) Data quality initiatives: striving for continuous improvements. International Journal of Information Quality, 1 (4). pp. 347-367.
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Although managers consider accurate, timely, and relevant information as critical to the quality of their decisions, evidence of large variations in Data Quality (DQ) abounds. Over a period of 12 months, the research project reported herein investigated and tracked DQ initiatives undertaken by the participating organisation. The results confirmed that, to ensure and maintain DQ, commitment to continuous DQ improvement is necessary. Most importantly, the research found that sustaining DQ gains requires mutual understanding by operations personnel, management, and funding sources as well as the provision of adequate incentives and modifications to institutional constraints.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||data quality; information quality; case study; action research; continuous improvement|
|Date Deposited:||24 Jul 2009 03:21|
|FoR Codes:||08 INFORMATION AND COMPUTING SCIENCES > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified @ 50%
08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems > 080609 Information Systems Management @ 50%
|SEO Codes:||89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%|