Data quality management initiatives could both help to prevent the occurrence of data defects and repair their effect. While such initiatives can reduce overall costs, they also cause costs for their development and implementation. Therefore, the overall aim is not to improve data quality by any means, but to ensure cost-efficiency. The paper proposes a meta-model for simulating data quality management, which can be used for planning of cost-efficient initiatives.
- Corporate Data Quality,
- Corporate Data Quality Scorecard
Available at: http://works.bepress.com/hubert_oesterle/165/