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The business value of text is immense, but it is not well understood by most organizations. Analysis of textual data can provide a wide variety
Data warehouse / business intelligence / analytics environments require business and IT cooperation for successful architecture and design In working with many large corporations across
The increasing value of data and information demonstrates the need to know the lineage of the data and its metadata to understand its relevance to
Database operations is the development, maintenance, and support of structured data to maximize the value of data across the organization. This function includes database support
Textual data is a valuable component for business analytics, but the responsibility for gathering and managing textual data is unclear. Consider textual processing for delivering
Organizations need a strategy for managing metadata. This strategy should be part of an enterprise data strategy, enabling the management of data as an organizational
Following some proven guidelines for data integration will ensure success in data warehousing and business intelligence, analytics and related systems initiatives. Introduction Almost every Chief
Physical data models should follow the logical data model as closely as possible, while adding the optimizing items to conform to a specific database and
Text, the basis of language, can be considered to be unstructured by technicians. However, for others, text and language have a definite structure. It is
A managed metadata environment (MME) is the optimal approach to metadata architecture for meeting business and technical requirements Introduction Almost every corporation and government agency
Project management requires the use of a solid framework and an experienced project manager to ensure the success of any project, any size, in any
Reference and master data provide the contextual capabilities for transactional data. Managing reference and master data enables organizations to understand operational data and analyze disparately
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