Flexible data management is a procedure that involves establishing and maintaining an information structure that is responsive to the business demands. This allows organizations to better adapt to changes in the business environment, enhance access to information and aid in decision making with the most accurate and current information.

As businesses struggle to keep up with the ever-changing business world, flexibility becomes more essential. Modern organizations are living proof that change is the only constant. If the infrastructure of a company cannot keep up with the ever-changing requirements and goals and objectives, it’ll soon be outdated.

Flexibility is also crucial to ensuring that businesses can effectively utilize their current and future information assets to gain competitive advantage. This can be achieved by adopting new methods of monitoring the health of data pipelines as well as data pieces (known as “data observability”), which helps detect and address issues before they impact security or quality of data. This approach provides an automated and proactive method of storing and managing data that eliminates the requirement for human intervention and speeds up problem-solving.

Another benefit of flexible data management is that it makes it simpler for different teams to share information. For instance, marketing could have a different method of assessing and resolving risk than IT, but both approaches can be combined up into a single, simple-to-read report that can be sent to the leadership of the company. This is possible with tools like business glossaries, data federation and metadata-driven information dictionary.

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