What is the impact of data silos on organizational decision-making?

• A. They improve consistency by centralizing data.
• B. They reduce duplication across systems.
• C. They cause inconsistent information, duplication, and hinder decision-making.
• D. They automatically integrate data from all departments.

Answer: (C)

Data silos occur when different departments store and manage data separately, often using different systems and standards. This fragmentation prevents a single, reliable view of the organization’s information, so metrics can diverge and reports can conflict. As a result, decisions are based on partial or mixed signals, which slows response times and undermines confidence in outcomes. Duplication is common because each department maintains its own dataset, leading to wasted effort and inconsistencies across the business. When data isn’t integrated, cross-functional insights suffer, making it harder to see the full picture and coordinate actions.

The idea that data silos centralize data or improve consistency is not accurate; silos actually isolate data and undermine consistency. They don’t reduce duplication; they typically create it. And they do not automatically integrate data from all departments; they hinder integration, requiring extra work to reconcile information.