Flexible data management is the process of creating and maintaining information structures that respond to the business needs. This allows organizations to better adapt to changes in the business environment enhance information access and support decision-making with the most accurate and up-to-date data.

The need for flexibility is becoming more essential as companies struggle to keep pace with the ever-changing business landscape. The old adage, that the only constant is change holds true for modern organizations and if a business’s information infrastructure isn’t up to date with the ever-changing needs and strategic objectives it will soon become obsolete.

Flexibility is vital for businesses to be able to make use of their information assets efficiently to gain a competitive advantage. This can be done by implementing new methods for 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 security or quality. This method provides a proactive, automated method of storing and managing data that eliminates the requirement for human intervention and https://boardroomreview.blog/how-many-votes-are-needed-for-an-ordinary-resolution 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 to track and manage risk than IT, but both approaches can be combined into one easy-to-read report that is communicated to the top executives of the organization. This is made possible by tools such as business glossaries and data federation, which are driven by metadata.