Data management is the process of handling data as an asset. It allows for consistent access, delivery and governance. It also provides a set of guidelines that assures that an organisation can meet their regulatory compliance obligations in the area of data protection and see this privacy.

Data analytics is only beneficial when companies have a solid and effective strategy for managing data. However, a sound data management strategy does not necessarily mean the exact same thing for every business or organization.

In the majority of cases the data management initiative must be an all-team effort, requiring strong collaboration and buy-in across departments. This includes educating employees on data analysis and assisting them to develop a data-driven culture and mindset, especially in companies not already heavily data-driven.

Data management must also make sure that the right people are provided with the correct data at the right moment. This can be achieved through democratization of data access and analysis, making it easier for everyone to comprehend and utilize the data. This can be achieved through establishing clear lines of the responsibilities and authority of each to the various tasks related to data management.

Data management is a challenging task that requires careful planning and execution and ongoing support and maintenance. It is crucial to begin thinking about this at the start of any project, and also to keep updating plans as the work progresses. This will allow data managers to create an easy-to-read structure, which will save time and effort.