Flexible data management is the process of establishing and maintaining information structures that respond to the demands of business. This allows organizations to better adapt and respond to changes in the business environment, improve access to information and aid in decision-making using the most accurate and current information.
As businesses struggle to keep up with a rapidly changing business environment, flexibility becomes more crucial. The old saying that the only constant is change holds true for modern organizations, and if a company’s infrastructure for data isn’t keeping up with evolving board effect portal needs and strategic goals, it will quickly become obsolete.
Flexibility is also crucial in ensuring that companies can efficiently utilize their information assets to gain competitive advantage. This can be achieved through embracing the latest methods of monitoring the health of data pipelines as well as data pieces (known as “data observability”) which helps to identify and fix issues before they affect security or data quality. This is an automated, more proactive method to manage data which reduces human effort and speeds up the resolution of problems.
Another benefit of a flexible approach to managing data is that it makes it easier for different teams to share information. For instance, marketing may have a different method of tracking and resolving risk than IT, but 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 business glossaries and data federation, which are driven by metadata.