Data management is the process of handling data as an asset. It ensures an uninterrupted access, delivery and governance. It also includes an approach to data management that assures that an organisation can fulfill their compliance requirements with the law regarding data security and privacy.

Companies require a strong and efficient strategy for managing data to take advantage of the benefits that data analytics offer. However, a good data management strategy does not necessarily mean the exact same thing for every company or organization.

In most cases the initiative to manage data is one-on-one, with strong collaboration and buy-in across departments. This will often involve training employees in data analysis and helping them develop a data mindset and a culture, especially in organizations that aren’t already highly data-driven.

Data management must also make sure that the right people are provided with the right data, at the right moment. This can be achieved through democratization in data access and analysis, which makes it easier for all to understand and use the data. This can be achieved by clearly defining the lines of the authority and responsibility in relation to the different tasks related to the management of data.

Data management is a complex undertaking that requires careful planning and execution, as well as continuous support and maintenance. It is important to consider this at the beginning of your project and to review plans as you move forward. This will enable data managers to build an easy-to-use structure, thereby saving time and effort.

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