Why are data silos considered problematic?

Data silos are considered problematic primarily because they restrict data accessibility and interoperability. When data is stored in isolated systems, different teams or departments are unable to easily access or share information with one another. This can lead to inefficiencies, as teams may duplicate efforts or work with outdated or incomplete data sets.

With data locked away in separate silos, organizations struggle to gain a holistic view of their operations, which hinders decision-making processes. Effective collaboration and innovation are often stifled as insights derived from one set of data cannot benefit other areas of the organization.

In contrast, a more integrated approach to data management promotes accessibility and improves the chances of generating valuable insights from across the enterprise, ultimately leading to better strategies and outcomes.