Data managing encompasses every aspects of managing data as being a valuable source. It includes creating procedures to get, collect, store, transform and guard data — all along with the goal of delivering high-quality business outcomes that could be trusted.

The idea of managing data as a source of information dates back for the first flowering of information technology, when IT professionals recognized that computers come to incorrect data when they had been fed erroneous or inferior data. As time passes, mainframe-based hierarchical databases helped to formalize the process of data administration, which is now considered an important component to a firm’s overall THIS infrastructure.

Numerous criteria can be used to measure data quality, with respect to the industry in which an organization works and the purpose that data plays in the goals. Some examples include completeness, consistency and uniqueness. Completeness measures whether all essential values can be found — for example , if your team needs a customer’s last name to be sure sending is dealt with correctly, the repository must incorporate that item of data. Reliability ensures that data values stay the same as they move between applications and networks, although uniqueness makes certain that duplicate info items are not really stored 2 times in different locations.

Companies that excel at info management experience a well-defined set of info processes that help them distinguish, analyze and interpret business problems and opportunities in data management system a timely vogue – so they can take action quickly and confidently. In addition to improving decision-making, data management may reduce risk and help businesses meet regulatory requirements.