Flexible data management is a method which involves establishing and maintaining an data structure that is flexible to business requirements. This enables organizations to better adapt to changes in the business environment, increase access to information and aid in decision-making with the most accurate and current information available.

As businesses struggle to keep up with the ever-changing business environment, flexibility becomes more important. The old saying that the only constant is change holds true in modern organizations and if https://boardroomreview.blog/boardeffect-board-portal-main-functions a company’s data infrastructure can’t keep up with the ever-changing needs and strategic objectives, it will quickly become obsolete.

Flexibility is vital for companies to be able to use their information assets efficiently to gain a competitive advantage. This can be achieved by adopting emerging methods of monitoring the health and integrity of data pipelines as well as individual data pieces (known collectively as «data observability») which help identify and resolve problems before they impact the data’s security or quality. This approach provides a proactive, automated method of storing and managing data that eliminates the requirement for human intervention and speeds up problem-solving.

Flexible data management also makes it easier for teams to share information and access it. For instance, marketing could have a different way of assessing and resolving risks than IT, however both approaches can be rolled into one simple-to-read report that can be sent to the top executives of the organization. This is made possible by tools like business glossaries and data federation, which are driven by metadata.