Flexible data management is the process of creating and maintaining information structures that are responsive to the needs of business. This allows businesses to better adapt to changes in the business environment. It also improves access to information and assist in decision-making using the most current and accurate data.
The necessity for flexibility is becoming increasingly vital as companies are struggling to keep up with the fast-changing business environment of today. Modern companies are living proof that change is the only constant. If an organization’s infrastructure isn’t adapting to changing requirements and goals and objectives, it’ll soon be outdated.
Flexibility is a must for companies to be able to make use of their current and future information assets effectively to gain competitive advantage. This can be accomplished by implementing innovative methods of monitoring the health and integrity of data pipelines as well as individual data pieces (known collectively as „data observability“) that help to identify and resolve problems prior to affecting the data’s quality or security. This approach provides an automated and proactive method of managing data, which 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 information. Marketing can track and manage risks in a different way than IT. However, both approaches can be combined into one report that is simple to read and conveyed to the leaders of the organization. This is possible thanks to tools such as business glossaries and data federation which are driven by metadata.