Flexible data management is a process that involves the establishment and maintenance of an information structure that is responsive to the business demands. This allows companies to better adapt to changes in the business environment, enhance access to information and aid in decisions with the most current and accurate data.

The necessity for flexibility is becoming more important as companies struggle to keep up with the ever-changing business environment. The old adage that the only constant is change holds true in modern organizations and if a business’s data infrastructure isn’t able to keep pace with the changing needs and strategic objectives it will soon become obsolete.

Flexibility is crucial for companies to be able to make use of www.boardroomreview.blog/change-of-company-directors-common-actions/ their data assets effectively 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 can help identify and fix issues prior to them affecting the data’s quality or security. This approach offers a proactive, automated method of managing data that minimizes the requirement for human intervention and speeds up problem-solving.

Flexible data management makes it easier for teams to share information and access it. For example, marketing may have a different way to track and manage risks than IT, however both approaches can be rolled up into a single, easy-to-read report which is then sent to the company’s top management. This is made possible by tools like data federation and business glossaries which are driven by metadata.