Data integration is the collection of technical and business processes used to combine data from disparate sources into meaningful and valuable information. Data integration requires attention to enterprise architecture and its components: data architecture, application architecture, technical / infrastructure architecture; metadata management, master and reference data management, data quality management, and data governance.
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
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
Customer data integration can be improved by using generic dimensional modeling techniques Introduction If you are undertaking a Customer Data Integration (CDI) or Customer Master