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Consider This
Building an EDW is an exercise in overcoming challenges presented by complex data relationships, conflicting data sources, changing data elements and simple data gaps. These must all be reviewed, understood and brought together within a data model that supports a wide range of business analysis objectives.

Consolidated data is supplied by and extracted from multiple sources, including operational, ERP and legacy systems. This ensures consistent reporting and analysis across the enterprise.
Conformed data elements and attributes come from various source systems and are transformed into a single, conforming business definition and/or formula. This ensures the organization shares the same view of the business and a single “version of the truth.”
Cleansed data is a result of erroneous or questionable data being identified and either eliminated or corrected. This ensures business decisions are based on accurate information.