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Flexible data management is the process of establishing and maintaining information structures that respond to business demands. This enables organizations to better adapt to changes in business environments, increase access to information and assist in making better decisions with the most accurate and up-to-date information.

The need for flexibility is becoming more vital as companies are struggling to keep up with the ever-changing business landscape. Modern organizations are living evidence that change is the only constant. If an organization’s infrastructure can’t keep pace with changing requirements and goals the infrastructure will quickly become outdated.

Flexibility is also essential to ensure that businesses can effectively utilize their information assets to gain competitive advantage. This can be done 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 resolve problems prior to them affecting the data’s quality or security. This method provides an automated, proactive method of managing data that reduces the requirement for human intervention and speeds problem-solving.

Another benefit of a flexible approach to managing data is that it makes it simpler for different teams to share information. For example, marketing may have a different method of tracking and resolving risks than IT, however both approaches can be combined into one simple-to-read report that can be sent to the company’s top management. This is possible thanks to tools like data federation and business glossaries that are powered by metadata.