Flexible data management is the process of establishing and maintaining information structures that are responsive to the demands of business. This helps organizations better adapt to the changing requirements of business environments, improve information access and assist in making decisions using the most current and accurate information.
As companies struggle to keep up with a rapidly changing business world, flexibility becomes more crucial. The old adage, that the only constant is change holds true for modern organizations and if a company’s infrastructure for data isn’t keeping up with the ever-changing needs and strategic objectives it will soon become obsolete.
Flexibility is also crucial to ensuring that businesses can efficiently utilize their information assets to gain 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”) which aid in identifying and address issues before they impact the data’s security or quality. This How many votes does it take to pass a resolution method provides an automated and proactive method of managing data that reduces the requirement for human intervention and speeds up problem-solving.
Flexible data management makes it easier for teams to share and access information. For example, marketing may have a different method of assessing and resolving risks than IT, however both approaches can be rolled up into a single, easy-to-read report that is communicated to the leadership of the company. This is possible thanks to tools such as business glossaries and data federation that are powered by metadata.