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Data Management is the approach to managing data as a valuable asset, providing consistent access, delivery of governance, security, and accessibility through tools such as master data management, data virtualization catalogs of data, and self-service data preparation and wrangling. It also includes a practice that guarantees that the organization is in compliance with its regulatory compliance obligations for data protection and privacy.
Companies need a robust and efficient strategy for managing data to take advantage of the advantages that data analytics provide. But a well-designed data management strategy doesn’t necessarily mean the exact same thing for every business or organization.
In most cases the successful data management project will require an all-team effort, requiring strong collaboration and buy-in across departments. This will involve training employees on data analysis and assisting them to establish a culture of data and mindset, particularly for companies that are not already data-driven.
Finally, data management must also address the issue of ensuring that the appropriate individuals have the correct data at the right time. This can be achieved by democratizing access to data and analysis, making it easier for all to comprehend and utilize the data. This can be accomplished by establishing clear lines of accountability and authority in relation to the various tasks related to the management of data.
Data management is a challenging task that requires careful planning and execution along with regular support and maintenance. It is important to consider this at the beginning of a project and to revise plans as you advance. This will allow data managers to design an environment that is easy to navigate and save a lot of time and effort in the long run.