Flexible data management is a procedure that involves the establishment and maintenance of an data structure that is flexible to business requirements. This allows companies to better adapt to changes in the business environment. It also improves accessibility to information, and support decision making with the most accurate and current information available.
As businesses struggle to keep up with the ever-changing business world, flexibility becomes more essential. Modern companies are living evidence that change is the only constant. If a company’s structure can’t keep pace with ever-changing requirements and goals, it’ll quickly become outdated.
Flexibility is also crucial to ensuring that businesses can effectively utilize their information assets to gain competitive advantage. This can be achieved by implementing new methods for monitoring the health and integrity of data pipelines and individual data pieces (known collectively as “data observability”) which aid in identifying and resolve problems before they affect the data’s security or quality. This is an automated and proactive way to manage data, which reduces human effort and accelerates problem-resolution.
Flexible data management also makes it easier for teams to share and access information. For instance, marketing could have a different method of tracking and remediating risk than IT, but 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 through tools such as data federation, business glossaries and metadata-driven information dictionary.
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