Flexible data management is an approach that involves establishing and maintaining an information structure that can be adapted to business needs. This allows organizations to better adapt to changes in the business environment, improve access to information and aid in decision making with the most accurate and current data.
As companies struggle to keep up with the fast-changing business world, flexibility is becoming more crucial. The old saying that the only constant is change is true for modern organizations and if an organization’s data infrastructure can’t keep up with the ever-changing needs and strategic goals the infrastructure will soon become obsolete.
Flexibility is crucial for companies to utilize their information assets effectively to gain competitive advantage. This can be done by adopting emerging methods of monitoring the health and integrity of data pipelines as well as individual data pieces (known collectively as “data observability”) which can help identify and fix issues before they impact the data’s security or quality. This method provides an automated and proactive method of storing and managing data that eliminates the need for human intervention and speeds up problem solving.
Flexible data management also makes it easier for teams to share and access information. For example, marketing may have a different method 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 company’s top management. This is made possible by tools such as business glossaries and data federation, which are driven by metadata.
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