Flexible data management is a process which involves establishing and maintaining an data structure that is flexible to business requirements. This allows organizations to better adapt to changes in the business environment, increase access to information and assist in decisions with the most accurate and current information available.
As businesses struggle to keep up with the ever-changing business world, adaptability becomes more essential. The old adage that the only constant is change is for modern businesses and if a company’s infrastructure for data isn’t keeping up with the changing needs and strategic goals the infrastructure will soon become obsolete.
Flexibility is crucial for companies to be able to make use of their information assets efficiently to gain a competitive advantage. This can be achieved by implementing new methods of monitoring the health and integrity of data pipelines as well as individual data pieces (known collectively as “data observability”) that help to identify and fix issues prior to affecting the data’s security or quality. This method provides an efficient, automated way to manage data, which decreases the need for human intervention and speeds problem resolution.
Flexible data management makes it easier for teams to share information and access it. For instance, marketing could have a different way of tracking and remediating risks than IT, however both methods can be rolled up into a single, easy-to-read report which is then sent to the top executives of the organization. This is made possible by tools such as data federation and business www.boardroomreview.blog/boardeffect-board-portal-main-functions/ glossaries which are driven by metadata.