Data Silos: The Silent Barrier

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Data Silos: The Silent Barrier
Adaptive Pulse

Data Silos are often associated with negative implications in almost all organizations. This ill reputation has not come itself, but it is rightly justifiable. Data silos are a silent barrier in the smooth functioning of various departments in a synchronized and supporting way. To comprehend the reason behind this, let’s first look at data silos themselves.

What Are Data Silos?

Data Silos is an accumulation of raw data by different departments in the same organization but not entirely available for other departments. In any organization, various departments like HR, marketing, finance, etc., have different goals; therefore, they store the data separately, keeping in mind the objective of their department. As the need for data grows, data silos also grow.

Data silos might seem harmless data at first, but it is not healthy data, and with time, it starts causing hurdles in the well-ordered functioning of the company. Because of the inconsistencies across different departments and overlapping data in various silos, the quality of the data also suffers. With the accumulation of multiple data silos, it also becomes difficult for companies to get a holistic view of company data.

Why Are Data Silos Problematic For Business?

By now, it is evident data silo is not healthy for the smooth functioning of a company. Let’s look at the severe problems caused due to data silos in brief.

● Fragmented Data Set: Data silos prevent the analytics from having a complete, 360- degree view of all the available data in the company. They, in a sense, lock the data away from the reach of other departments, so it augments the fragmentation of data available in a company.


● Lack Of Transparency And Collaboration: Each team working with the data only available to them without access to all the available data does not build an environment of collaboration or trust among different departments. It prohibits the company from delivering a larger vision and goal. Instead, various departments have their own goals and objectives.


● Slow The Momentum Of Company: As the data is not streamlined with all the departments simultaneously, it diminishes the pace of development. First, a department may come across the need for data. Next, they realize that they do not have access to it, and by the time they manually access the data from another department, it may not be valid or necessary to their objective.

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