Flexible data management is the process of establishing and maintaining data structures that are able to respond to business demands. This allows companies to better adapt to changes in the business environment as well as improve access to information and aid in decision-making by providing the most current and accurate information.
As businesses struggle to keep up with the rapid-changing business world, flexibility becomes more crucial. The old adage that «the only constant is change holds for modern businesses and if an organization’s data infrastructure isn’t able to keep pace with the ever-changing needs and strategic goals the infrastructure will soon become obsolete.
Flexibility is a must for businesses to be able to use their current and future information assets efficiently to gain competitive advantage. This can be done by adopting emerging methods of monitoring the health and integrity of data pipelines and individual data pieces (known collectively as «data observability») that https://boardroomreview.blog/how-many-votes-are-needed-for-an-ordinary-resolution help to identify and address issues before they impact the data’s quality or security. This method provides an automated and proactive method of managing data that reduces the need for human intervention and speeds up problem solving.
Flexible data management allows teams to share information and access it. Marketing might track and address risk in a different way than IT. However both methods can be combined into one report that is simple to read and relayed to the senior management of the organization. This is possible through tools such as data federation, business glossaries and metadata-driven information dictionary.
