When there are needs for accurate, complete, and consistent data across many organizational uses, a services approach to implementing data quality should be considered. Using a single tool set and common implementations reduces redundancy, duplicated effort, and duplicated rules. Selecting a single vendor simplifies the licensing, training, and maintenance. In addition there are benefits for standardizing data quality capabilities especially when encapsulated within a set of well-defined services that reduce effort, functional replication and inconsistency.