Data control encompasses all aspects of controlling data like a valuable resource. It includes creating procedures to purchase, collect, store, transform and protect data — all along with the goal of delivering high-quality business outcomes that can be trusted.
The thought of managing data as a aid dates back towards the first flowering of information technology, when IT pros recognized that computers come to incorrect findings when they had been fed inaccurate or not enough data. With time, mainframe-based hierarchical sources helped to formalize the process of data control, which data management system is now viewed as an important part of a firm’s overall IT infrastructure.
Numerous criteria may be used to measure info quality, with respect to the industry through which an organization runs and the function that data plays in its goals. A few examples include completeness, consistency and uniqueness. Completeness measures whether all essential values can be found — for example , if your staff needs a customer’s last name to make certain sending is resolved correctly, the data source must incorporate that bit of data. Reliability ensures that info values continue to be the same as they move among applications and networks, although uniqueness makes sure that duplicate info items are certainly not stored twice in different spots.
Companies that excel at data management have a clear set of info processes that help them determine, analyze and interpret organization problems and opportunities in a timely trend – to allow them to take action quickly and confidently. In addition to improving decision-making, data management can reduce risk and help firms meet regulating requirements.

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