Data management (aka enterprise information management) encompasses techniques for data quality, integration, and governance. It includes all the practices necessary to manage data as a critical enterprise asset.
Data quality includes techniques for name-and-address cleansing, data standardization, verification, profiling, monitoring, matching, householding, and enrichment. Data integration (DI) acquires data from sources and transforms and cleanses it. ETL (extract, transform, and load) is the most common form; others include ELT, customer data integration (CDI), data federation, database replication, and data synchronization. Data integration may be analytic or operational. Data governance boards or committees create and enforce policies and procedures for data usage and management. (See Master Data Management.)