Data managing encompasses pretty much all aspects of handling data as a valuable useful resource. It includes developing procedures to obtain, collect, store, convert and guard data — all together with the goal of delivering high-quality business outcomes that can be trusted.

Thinking about managing data as a source of information dates back towards the first blooming of information technology, when IT professionals recognized that computers reached incorrect a conclusion when they had been fed erroneous or not enough data. After a while, mainframe-based hierarchical directories helped to formalize the data operations, which is now regarded as an important component to a firm’s overall THIS infrastructure.

Various criteria can be used to measure data quality, with respect to the industry by which an organization runs and the role that data plays in the goals. Some examples include completeness, consistency and uniqueness. Completeness measures if all required values are available — for example , if your workforce needs a customer’s last name to assure emailing is addressed correctly, helpful site the repository must contain that item of data. Steadiness ensures that info values continue to be the same as they will move among applications and networks, although uniqueness makes certain that duplicate data items are certainly not stored 2 times in different locations.

Companies that excel at info management include a clear set of info processes that help them identify, 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, info management may reduce risk and help businesses meet regulatory requirements.