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Data management encompasses each and every one aspects of managing data as being a valuable source. It includes building procedures to accumulate, collect, store, change and guard data — all considering the goal of delivering high-quality business outcomes which might be trusted.

The concept of managing info as a powerful resource dates back towards the first its heyday of information technology, when IT experts recognized that computers reached incorrect ideas when they had been fed erroneous or inadequate data. As time passes, mainframe-based hierarchical databases helped to formalize the data operations, which is now thought about an important component to a firm’s overall THIS infrastructure.

Many different criteria can be used to measure data quality, depending on the industry in which an organization operates and the position that data plays in the goals. Some examples include completeness, consistency and uniqueness. Completeness measures whether all expected values can be obtained — for instance , if your staff needs a customer’s last name to assure mailing is resolved correctly, the databases must comprise that little bit of data. Consistency ensures that info values continue to be the same as they move among applications and networks, while uniqueness makes certain that duplicate info items are not really stored two times in different places.

Companies that excel at info management have a clear set of data processes that help them distinguish, analyze and interpret business problems and opportunities in a timely fashion – for them to take action quickly and with confidence. In addition to improving decision-making, data management can reduce risk and help businesses meet regulating requirements.