This view of data provides a
better foundation for transforming a silo-oriented set of existing applications into systems
that fit into the organizational model. Data Architecture is the corporation??™s expression of
strategy for creating and managing the use of data in order to transform data into information.
Recognizing that data is a strategic asset that is expensive to handle and easy to waste,
the data architecture must assure:
Stephens
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??? Standardization of data structures (logical and physical)
??? Definition and protection of the data resource
??? Consistency and quality of the data resource
??? Judicial use of corporate resources (e.g., personnel) in managing the data asset
??? Credible and timely data is delivered throughout the enterprise at a reasonable cost
??? Driven by the needs of business and can adapt to changes in the business
??? Implemented in any technical environment
The metadata repository for the data environment will capture the logical and physical models,
entities, attributes, tables, fields, files, domains, vocabularies, stewards, and data transformation
rules.
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