In data management, what is the main purpose of eliminating data silos?

The main purpose of eliminating data silos is to ensure all teams have access to the same information. When data is isolated within specific departments or systems, it prevents collaboration and can lead to inconsistencies in data interpretation, analysis, and decision-making across an organization. By breaking down these silos, organizations can facilitate better communication, a more comprehensive view of data resources, and improved data integrity. This access allows for more informed decision-making and encourages a data-driven culture, where insights derived from data can be shared and utilized across various teams.

This approach contrasts with creating diverse data sets for analysis, which may still lead to siloed data if communication barriers exist. Additionally, while protecting sensitive information is vital, eliminating data silos primarily focuses on improving accessibility and collaboration rather than security or increasing storage costs.