Download e-book for kindle: Advanced Topics in Information Resources Management Series, by Mehdi Khosrowpour

By Mehdi Khosrowpour

ISBN-10: 1591400309

ISBN-13: 9781591400301

ISBN-10: 1930708440

ISBN-13: 9781930708440

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Sample text

Data model quality is the focus of metadata refinement & structuring efforts. Data value quality is the focus of the data creation and manipulation and refinement phases. Data representation quality is the focus of the data utilization phase. Metadata Refinement ↵ Metadata Creation ↵ Metadata Structuring ↵ Data Creation ↵ Data Manipulation ↵ Data Refinement Data Utilization ↵ ↵ Data Assessment ↵ ↵ ↵ ↵ data architecture is determined by its capability to provide data for an entire organization as a single unit.

The data model quality dimension refers to the quality of data logically representing user requirements related to data entities, associated attributes, and their relationships. A quality data model is essential to communicate among users and system developers about data structure specifications. The most fundamental aspect of data quality is whether the system is maintaining data which are useful to the user community. No other data quality characteristic matters if the necessary data are defective or not available.

Nystrom, P. C. and Starbuck, W. H. (1976). Camping on seesaws: Prescriptions for a self-designing organization. Administrative Science Quarterly, 21, 41-65. Hibbard, J. (1997). Ernst & Young deploys app for knowledge management. Information Week, Jul 28, 28. Hildebrand, C. (1999). Does KM=IT? CIO Enterprise, Sept. 15. html . Kalakota, R. and Robinson, M. (1999). e-Business: Roadmap for Success. Reading, MA: Addison-Wesley. Kanter, R. M. (1983). The Change Masters: Innovation & Entrepreneurship in the American Corporation.

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Advanced Topics in Information Resources Management Series, Vol. 1 by Mehdi Khosrowpour


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