Flexible data management is a process that involves establishing and maintaining an information structure that can be adapted to business requirements. This enables organizations to better adapt and respond to changes in the business environment. It also improves access to information and aid in decision-making using the most current and accurate information available.
As companies struggle to keep up with the fast-changing business world, adaptability becomes more important. Modern businesses are evidence that change is the only constant. If the infrastructure of a company cannot keep up with the evolving requirements and goals it will soon become outdated.
Flexibility is crucial for companies to utilize their information assets effectively to gain competitive advantage. This can be accomplished 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 aid in identifying and fix issues before they affect the data’s security or quality. This method offers an automated and proactive method of managing data that reduces the requirement for human intervention and speeds up problem-solving.
Another benefit of a flexible approach to managing data is that it makes it simpler for different teams to share and access information. Marketing may monitor and resolve risks in a different fashion than IT. However both methods can be combined into one report that is simple to read and communicated to the senior management of the company. This is achievable through tools like data federation, business glossaries and metadata-driven information dictionary.
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