Flexible data management is the process of establishing and maintaining information structures that are responsive to business demands. This allows organizations to better adapt to changes in the business environment, enhance information accessibility and support decision-making with the most current and accurate data.
The need for flexibility is becoming increasingly essential as companies are struggling to keep up with today’s fast-changing business environment. The old saying that the only constant is change holds in modern organizations and if a company’s data infrastructure can’t keep up with evolving needs and strategic goals, it will quickly become obsolete.
Flexibility is also essential in ensuring that companies can efficiently utilize their information assets https://boardroomreview.blog/how-many-votes-are-needed-for-an-ordinary-resolution to gain competitive advantage. This can be done by implementing innovative methods of monitoring the health and integrity of data pipelines and individual data pieces (known collectively as “data observability”) that help to identify and resolve problems prior to affecting the data’s security or quality. This is an efficient, automated method of managing data which decreases the need for human intervention and speeds problem resolution.
Another benefit of a flexible approach to managing data is that it makes it simpler for different teams to access and 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 can be communicated to the leadership of the organization. This is possible through tools like data federation, business glossaries and metadata-driven information dictionary.