Flexible data management is a method which involves establishing and maintaining an data structure that is flexible to business needs. This allows organizations to better adapt to changes in business environments as well as improve access to information and aid in decision-making by providing the most accurate and up-to-date data.

The need for flexibility is becoming increasingly essential as companies are struggling to keep up with the ever-changing business landscape. Modern businesses are living evidence that change is the only constant. If a company’s structure cannot keep up with the changing needs and objectives the infrastructure will quickly become outdated.

Flexibility is crucial in ensuring that companies can efficiently utilize their current and future information assets to gain competitive advantage. This can be done by implementing new methods for monitoring the health and integrity of data pipelines as well as individual data pieces (known collectively as “data observability”) which can help identify and resolve problems before they affect the data’s quality or security. This method provides an automated and proactive method of managing data, which reduces the requirement for human intervention and speeds up problem-solving.

Flexible data management also makes it easier for teams to share information and access it. For example, marketing may have a different way of tracking and remediating risks than IT, however both approaches can be rolled into one easy-to-read report which is then sent to the organization’s leadership. This is made possible by tools like data federation and business glossaries, which are driven board room review blog by metadata.

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