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Can I read Data Quality in Context on EtoBox?
Data Quality in Context by Diane M. Strong; Yang W. Lee; Richard Y. Wang is a Computer Science article available to read on EtoBox.
What is Data Quality in Context about?
The social and economic impact of poor-quality data costs billions of dollars. [5-7, 10]. Organizational databases, however, reside in the larger context of information systems (IS). Within this larger context, data is collected from multiple data sources and stored in databases. From this stored data, useful information 1 is generated for organizational decision-making.A new study reveals businesses are defining data quality with the consumer in mind.
Who reads Data Quality in Context?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Diane M. Strong; Yang W. Lee; Richard Y. Wang
- Publisher
- Association for Computing Machinery; Association for Computing Machinery (ACM); ScienceOpen (ISSN 0001-0782)
- Published
- 1997
- Language
- EN
- Field
- Computer Science (Physical Sciences)
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