Data administration encompasses all aspects of controlling data as a valuable source of information. It includes establishing procedures to obtain, collect, store, change and secure data — all along with the goal of delivering high-quality business outcomes that may be trusted.

The concept of managing data as a source of information dates back to the first its heyday of information technology, when IT specialists recognized that computers reached incorrect ideas when they were fed incorrect or inferior data. After a while, mainframe-based hierarchical directories helped to formalize the process of data managing, which is now regarded as an important part of a firm’s overall THIS infrastructure.

Many different criteria can be used to measure info quality, with respect to the industry in which an organization runs and the part that data plays in its goals. A few 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 posting is tackled correctly, the database must contain that item of data. Thickness ensures that info values stay the same as that they move among applications and networks, while uniqueness makes certain that duplicate info items are not stored two times in different spots.

Companies that excel at info management include a clear set of info processes that help them discover, analyze and interpret business problems and opportunities in a timely fashion – to enable them to take action quickly and with certainty. In addition to improving decision-making, info management can easily reduce risk and help businesses meet regulatory requirements.