Measuring Data Quality for Ongoing Improvement by Laura Sebastian-Coleman

Author:Laura Sebastian-Coleman
Language: eng
Format: epub
ISBN: 9780123977540
Publisher: Elsevier Inc.
Published: 2012-12-25T16:00:00+00:00

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1Redman (2001) states that data supplier management “effectively moves responsibility for quality back to the supplier. In doing so it integrates … customer needs analysis, measurement, quality control, quality improvement and planning … into a step-by-step procedure. In addition, data supplier management helps an organization define its most important suppliers. Finally, supplier management enables an organization to simultaneously strengthen its suppliers and reduce its supplier base” (p. 153).

2In The Quality Toolbox, Nancy Tague (2005) observes that the need for a comprehensive approach is not limited to data quality. “Sometimes the label ‘quality’ is considered separate from day-to-day activities, but quality improvement extends into many areas that are not labeled ‘quality.’ Anyone planning strategy, solving a problem, developing a project plan, seeking ideas or agreement from other people, or trying to understand the customer better can use [the tools of quality improvement] to produce higher quality outcomes more easily” (xxi).

3“[D]ata quality strategy requires governance, policies, practices, technology and operational solutions that are all-encompassing yet present themselves to all participants as pragmatic and practical” (Loshin, 2007).

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