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The Importance of Data Mapping for Data Integration Projects

Data mapping (source-to-target mapping) is an essential activity for all data integration, business intelligence, and analytics initiatives Introduction Data mapping is among the most important design steps in data migration, data integration, and business intelligence projects. Mapping source to target

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The Importance of Data Integration

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 Information Officer (CIO) has the goal of integrating their organization’s data.  In fact, the issue

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The Data Constraint to Successful Enterprise Integration

Data Integration is essential for successful information management and business intelligence Introduction Without data integration, enterprise integration is extremely costly and overly complex.  Many businesses are convinced that Business Intelligence the Internet, and Customer Relationship Management (CRM) are critical, strategic

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Data Rationalization and Semantic Resolution

Data rationalization through managed metadata and data modeling, can support semantic resolution, enabling improved analysis and knowledge transfer. Introduction Across the Internet and within internal systems, ontologies are used to improve search capabilities and make inferences for improved human or

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