Flexible data management is the process of establishing and maintaining information structures that are responsive to business demands. This enables organizations to better adapt to changes in the business environment, increase access to information and assist in decision-making using the most current and accurate information.
As companies struggle to keep up with the ever-changing business environment, flexibility becomes more important. The old adage that “the only constant is change holds for modern businesses and if an organization’s infrastructure for data isn’t keeping up with the ever-changing needs and strategic goals it will soon become obsolete.
Flexibility is essential for businesses to utilize their information assets efficiently to gain a competitive advantage. This can be accomplished by adopting emerging methods of monitoring the health and integrity of data pipelines and individual data pieces (known collectively as “data observability”) which help identify and fix issues before they affect the data’s security or quality. This is an automated and proactive method to manage data which decreases the need for human intervention and speeds problem resolution.
Flexible data management also allows teams to share information and access it. For example, marketing may have a different method to track and manage risks than IT, however both approaches can be rolled up into a single, easy-to-read document that is sent to the top executives of the organization. This is possible thanks to tools such as business glossaries and data federation that are powered by metadata.
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