Flexible data management is the process of establishing and maintaining data structures that are able to respond to the needs of business. This allows organizations to better adapt to the changing requirements of business environments as well as improve access to information and support decision-making with the most accurate and up-to-date information.
The necessity for flexibility is becoming more important as companies struggle to keep pace with the fast-changing business environment of today. Modern businesses are board room review blog living evidence that change is the only constant. If the infrastructure of a company isn’t able to keep up with ever-changing requirements and goals the infrastructure will quickly become outdated.
Flexibility is a must for businesses to be able to make use of their current and future information assets effectively to gain a competitive advantage. This can be accomplished through embracing the latest methods of monitoring the performance of data pipelines and data pieces (known as “data observability”), which helps to detect and resolve issues before they affect security or quality of data. This is an efficient, automated method of managing data which decreases the need for human intervention and speeds up problem-solving.
Another benefit of a flexible approach to managing data is that it makes it easier for different teams to share information. For instance, marketing might have a different method of tracking and remediating risks than IT, however both methods can be rolled up into a single, simple-to-read report that can be sent to the company’s top management. This is achievable through tools like business glossaries, data federation and metadata-driven information dictionaries.