Data management refers to the set of processes used to prepare, store, and distribute data within an organization. Data management is vital important source to businesses as it allows better business decisions to be made by ensuring that relevant information is readily available at the right time.

In the past, a lot of data management processes were manual But today, there’s software that automatizes some of these tasks. These tools also allow to reduce the amount data that is duplicated. This is particularly helpful for companies that need to keep backup copies of their data for a long period of time. There is software that is specifically designed for small-scale businesses to large-scale ones, and it focuses on different operations and stages of data.

Having an effective approach to managing data can help companies get the most of their investment in technology and their personnel. The more accessible and organized the data is, the easier it will be to discover key insights that can boost a company’s performance. This can impact both top-line revenues and bottom line costs.

Quality of data is assessed through a range of metrics. These include completeness (the availability and consistency of all the necessary information) as well as validity (the accuracy, like the format, ranges etc.) and consistency (data values are consistent across various data types). When deciding on the measures you will apply to your data management process, start with your business objectives and build your strategy around them.