Data administration encompasses most aspects of managing data like a valuable learning resource. It includes establishing procedures to have, collect, see this site store, enhance and defend data — all along with the goal of delivering high-quality organization outcomes that may be trusted.
The concept of managing data as a useful resource dates back for the first flowering of information technology, when IT pros recognized that computers come to incorrect conclusions when they were fed inaccurate or limited data. Over time, mainframe-based hierarchical directories helped to formalize the data managing, which is now regarded an important component to a firm’s overall THAT infrastructure.
Many different criteria may be used to measure info quality, dependant upon the industry in which an organization manages and the position 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 crew needs a customer’s last name to assure mailing is attended to correctly, the data source must include that piece of data. Thickness ensures that data values continue to be the same as that they move among applications and networks, although uniqueness makes sure that duplicate data items are not really stored twice in different places.
Companies that excel at data management have a clear set of data processes that help them discover, analyze and interpret business problems and opportunities in a timely manner – so they can take action quickly and with confidence. In addition to improving decision-making, data management may reduce risk and help organizations meet regulatory requirements.