Flexible data management is the process of creating and maintaining data structures that are able to respond to the needs of business. This allows companies to better adapt and respond to changes in the business environment, increase accessibility to information, and support decisions with the most accurate and current data.
The necessity for flexibility is becoming more crucial as businesses struggle to keep pace with the ever-changing business landscape. The old adage that «the only constant is change holds in modern organizations and if a company’s information infrastructure isn’t up to date with changing requirements and strategic goals 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 accomplished by embracing new methods of monitoring the condition of data pipelines and data pieces (known as «data observability»), which helps to identify and fix issues before they affect the quality of data or security. This approach provides an automated and proactive method to manage data which decreases the need for human intervention and speeds up problem-solving.
Flexible data management allows teams to share and access information. For instance, marketing might have a https://boardroomreview.blog different way of tracking and resolving risks than IT, however both methods can be rolled up into a single, easy-to-read document that is sent to the leadership of the company. This is possible with tools such as business glossaries, data federation and metadata-driven information dictionaries.